The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'VD' (Van Dongen metric) in ascending order. The sorting criterium or the order can be changed by clicking on the appropriate criterium label. Subset of compared results can be filtered by several filters below. The segmentation details (single mosaics and their corresponding criteria values) are visible by clicking on the order number. Below the criterium labels are mean and standard deviation of the values of displayed results. They are used to compute z-scores which are displayed in brackets. The ranks are displayed in parentheses.

Select  result's set    benchmark     hidden results Show Hide
Filter by algorithm features
? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
Filter by degradationtype: ? no Gaussian Poisson Salt&pepper Blur (Gaussian) Median
Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 1.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  91.91 
 (6.28) 
 [0.831] 
85.90
(1)
[1.303]
11.55
(65)
[-0.375]
2.83
(32)
[-0.614]
4.33
(13)
[-0.642]
4.60
(14)
[-0.635]
4.96
(2)
[-0.850]
5.05
(2)
[-0.903]
88.64
(1)
[1.117]
92.69
(1)
[0.992]
94.60
(8)
[0.750]
7.31
(1)
[-0.992]
1.22
(9)
[-0.360]
93.15
(1)
[0.986]
90.04
(1)
[0.948]
1.93
(7)
[-0.414]
93.39
(1)
[0.954]
7.97
(11)
[-0.552]
5.89
(17)
[-0.439]
13.87
(1)
[-1.132]
11.79
(1)
[-1.044]
92.69
(1)
[0.992]
88.18
(1)
[1.073]
88.91
(1)
[1.086]
5.86
(1)
[-0.766]
92.38
(1)
[1.018]
3.56
(2)
[-0.408]
10.96
(6)
[-0.749]
87.36
(2)
[0.902]
3.88
(1)
[-0.633]
87.61
(1)
[1.068]
82.73
(1)
[1.196]
90.06
(1)
[0.989]
90.19
(1)
[0.967]
91.01
(8)
[0.874]
89.64
(8)
[0.757]
2.98
(1)
[-0.443]
 2.  alexandliutao@gmail.com's atom20t14   [large] 0 0 0 0  90.90 
 (11.44) 
 [0.774] 
84.25
(2)
[1.231]
11.45
(63)
[-0.380]
2.97
(33)
[-0.607]
4.49
(16)
[-0.635]
4.71
(18)
[-0.629]
5.72
(4)
[-0.814]
6.77
(23)
[-0.846]
87.15
(4)
[1.036]
91.72
(13)
[0.937]
93.80
(11)
[0.705]
8.28
(13)
[-0.937]
1.40
(11)
[-0.348]
92.20
(6)
[0.933]
88.68
(6)
[0.894]
2.11
(17)
[-0.401]
92.47
(6)
[0.902]
9.09
(22)
[-0.477]
6.88
(34)
[-0.373]
15.51
(4)
[-1.039]
13.30
(9)
[-0.957]
91.72
(13)
[0.937]
86.70
(6)
[0.988]
87.46
(2)
[1.003]
6.66
(2)
[-0.713]
91.44
(2)
[0.963]
4.02
(5)
[-0.377]
12.34
(10)
[-0.654]
85.74
(4)
[0.803]
4.48
(4)
[-0.596]
85.93
(2)
[0.983]
80.68
(2)
[1.078]
88.73
(2)
[0.910]
88.90
(2)
[0.888]
89.83
(11)
[0.809]
88.34
(20)
[0.681]
3.32
(10)
[-0.419]
 2.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.90 
 (11.44) 
 [0.774] 
84.25
(2)
[1.231]
11.45
(63)
[-0.380]
2.97
(33)
[-0.607]
4.49
(16)
[-0.635]
4.71
(18)
[-0.629]
5.72
(4)
[-0.814]
6.77
(23)
[-0.846]
87.15
(4)
[1.036]
91.72
(13)
[0.937]
93.80
(11)
[0.705]
8.28
(13)
[-0.937]
1.40
(11)
[-0.348]
92.20
(6)
[0.933]
88.68
(6)
[0.894]
2.11
(17)
[-0.401]
92.47
(6)
[0.902]
9.09
(22)
[-0.477]
6.88
(34)
[-0.373]
15.51
(4)
[-1.039]
13.30
(9)
[-0.957]
91.72
(13)
[0.937]
86.70
(6)
[0.988]
87.46
(2)
[1.003]
6.66
(2)
[-0.713]
91.44
(2)
[0.963]
4.02
(5)
[-0.377]
12.34
(10)
[-0.654]
85.74
(4)
[0.803]
4.48
(4)
[-0.596]
85.93
(2)
[0.983]
80.68
(2)
[1.078]
88.73
(2)
[0.910]
88.90
(2)
[0.888]
89.83
(11)
[0.809]
88.34
(20)
[0.681]
3.32
(10)
[-0.419]
 4.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.27 
 (19.64) 
 [0.741] 
81.45
(22)
[1.109]
12.30
(71)
[-0.338]
6.04
(58)
[-0.454]
4.66
(19)
[-0.627]
4.87
(23)
[-0.622]
6.10
(12)
[-0.796]
6.78
(25)
[-0.846]
86.07
(17)
[0.978]
91.07
(20)
[0.900]
92.28
(36)
[0.620]
8.93
(20)
[-0.900]
1.78
(44)
[-0.323]
91.03
(23)
[0.869]
87.55
(18)
[0.849]
2.57
(30)
[-0.370]
91.35
(23)
[0.838]
8.85
(17)
[-0.494]
6.58
(26)
[-0.393]
15.99
(9)
[-1.011]
13.72
(16)
[-0.932]
91.07
(20)
[0.900]
86.44
(9)
[0.973]
86.71
(10)
[0.961]
6.91
(4)
[-0.696]
90.65
(10)
[0.916]
3.99
(4)
[-0.378]
12.26
(9)
[-0.659]
85.64
(6)
[0.796]
4.97
(20)
[-0.565]
85.06
(11)
[0.939]
79.99
(10)
[1.039]
88.14
(11)
[0.876]
88.41
(7)
[0.858]
88.18
(28)
[0.718]
89.21
(11)
[0.731]
3.32
(8)
[-0.420]
 5.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.59 
 (16.44) 
 [0.757] 
82.97
(9)
[1.175]
9.49
(50)
[-0.476]
3.37
(36)
[-0.587]
5.76
(40)
[-0.575]
6.00
(53)
[-0.569]
5.69
(3)
[-0.816]
6.17
(16)
[-0.866]
86.55
(8)
[1.003]
91.38
(17)
[0.918]
93.37
(21)
[0.681]
8.62
(17)
[-0.918]
1.56
(24)
[-0.338]
91.56
(17)
[0.898]
88.00
(10)
[0.867]
2.46
(28)
[-0.377]
91.90
(17)
[0.869]
9.09
(24)
[-0.477]
6.90
(37)
[-0.372]
15.80
(8)
[-1.022]
13.60
(13)
[-0.939]
91.38
(17)
[0.918]
86.55
(8)
[0.979]
87.03
(8)
[0.979]
6.93
(5)
[-0.695]
90.99
(8)
[0.936]
4.04
(7)
[-0.375]
12.57
(12)
[-0.637]
85.52
(7)
[0.789]
4.82
(15)
[-0.574]
85.31
(9)
[0.951]
80.22
(5)
[1.052]
88.30
(7)
[0.885]
88.55
(4)
[0.867]
88.87
(15)
[0.756]
88.76
(13)
[0.705]
3.19
(4)
[-0.428]
 6.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.41 
 (18.69) 
 [0.748] 
82.18
(16)
[1.140]
9.96
(53)
[-0.453]
4.45
(40)
[-0.533]
5.80
(42)
[-0.573]
5.96
(50)
[-0.571]
5.77
(6)
[-0.812]
6.11
(15)
[-0.868]
86.26
(15)
[0.988]
91.25
(18)
[0.910]
93.00
(28)
[0.661]
8.75
(18)
[-0.910]
1.59
(30)
[-0.336]
91.35
(20)
[0.886]
87.81
(15)
[0.860]
2.41
(27)
[-0.381]
91.70
(20)
[0.858]
9.33
(29)
[-0.461]
6.95
(39)
[-0.368]
16.07
(10)
[-1.007]
13.68
(15)
[-0.935]
91.25
(18)
[0.910]
86.38
(12)
[0.969]
86.78
(9)
[0.964]
7.01
(6)
[-0.690]
90.60
(13)
[0.914]
4.07
(8)
[-0.373]
12.60
(14)
[-0.635]
85.44
(8)
[0.785]
4.79
(10)
[-0.577]
85.24
(10)
[0.948]
80.04
(8)
[1.041]
88.23
(9)
[0.881]
88.45
(6)
[0.860]
88.60
(17)
[0.741]
88.73
(14)
[0.703]
3.24
(5)
[-0.425]
 7.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.16 
 (22.61) 
 [0.735] 
81.52
(21)
[1.112]
10.37
(57)
[-0.433]
4.79
(44)
[-0.516]
5.97
(51)
[-0.565]
6.26
(60)
[-0.556]
5.96
(8)
[-0.803]
7.12
(29)
[-0.835]
85.99
(19)
[0.973]
91.00
(21)
[0.895]
92.62
(34)
[0.639]
9.00
(21)
[-0.895]
1.61
(33)
[-0.334]
91.14
(22)
[0.875]
87.46
(19)
[0.846]
2.40
(25)
[-0.382]
91.45
(22)
[0.844]
9.67
(34)
[-0.439]
7.22
(47)
[-0.350]
16.28
(12)
[-0.995]
13.83
(18)
[-0.926]
91.00
(21)
[0.895]
86.11
(16)
[0.954]
86.53
(12)
[0.950]
7.12
(7)
[-0.682]
90.37
(20)
[0.900]
4.15
(12)
[-0.367]
12.81
(17)
[-0.621]
85.13
(11)
[0.766]
4.80
(11)
[-0.576]
85.06
(12)
[0.938]
79.81
(12)
[1.028]
88.07
(12)
[0.872]
88.25
(14)
[0.848]
88.47
(19)
[0.734]
88.41
(19)
[0.685]
3.16
(2)
[-0.430]
 8.  alexandliutao@gmail.com's filter+sparse+process   [large] 0 0 0 0  90.11 
 (23.69) 
 [0.730] 
83.54
(6)
[1.200]
12.43
(73)
[-0.332]
3.99
(39)
[-0.556]
4.08
(9)
[-0.654]
4.16
(9)
[-0.655]
7.12
(26)
[-0.748]
7.56
(32)
[-0.820]
85.97
(20)
[0.972]
90.85
(23)
[0.887]
92.85
(31)
[0.652]
9.15
(23)
[-0.887]
1.96
(56)
[-0.311]
91.20
(21)
[0.878]
87.44
(20)
[0.845]
2.60
(31)
[-0.368]
91.52
(21)
[0.848]
9.39
(31)
[-0.458]
7.02
(41)
[-0.364]
16.58
(17)
[-0.977]
14.22
(22)
[-0.904]
90.85
(23)
[0.887]
85.74
(20)
[0.933]
86.46
(16)
[0.946]
7.14
(8)
[-0.680]
90.74
(9)
[0.922]
4.18
(14)
[-0.365]
13.10
(22)
[-0.601]
84.31
(21)
[0.716]
5.38
(30)
[-0.540]
84.32
(24)
[0.901]
79.45
(15)
[1.008]
87.84
(15)
[0.858]
88.09
(16)
[0.838]
88.85
(16)
[0.755]
87.87
(25)
[0.653]
3.97
(28)
[-0.375]
 9.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.92 
 (25.22) 
 [0.721] 
80.85
(24)
[1.083]
8.17
(44)
[-0.541]
7.55
(81)
[-0.379]
4.61
(18)
[-0.629]
4.94
(25)
[-0.618]
6.18
(16)
[-0.792]
6.32
(18)
[-0.861]
85.08
(24)
[0.924]
90.52
(26)
[0.868]
91.00
(55)
[0.548]
9.48
(26)
[-0.868]
1.95
(55)
[-0.311]
90.12
(29)
[0.819]
86.53
(24)
[0.809]
2.68
(32)
[-0.363]
90.43
(29)
[0.786]
9.17
(25)
[-0.472]
6.90
(36)
[-0.372]
16.67
(19)
[-0.972]
14.40
(23)
[-0.893]
90.52
(26)
[0.868]
85.89
(19)
[0.941]
85.96
(22)
[0.918]
7.19
(9)
[-0.677]
89.80
(26)
[0.866]
4.13
(9)
[-0.369]
12.92
(19)
[-0.614]
85.04
(12)
[0.760]
5.15
(23)
[-0.554]
84.62
(15)
[0.916]
79.42
(16)
[1.006]
87.85
(13)
[0.859]
88.12
(15)
[0.840]
87.11
(45)
[0.659]
89.71
(7)
[0.761]
3.17
(3)
[-0.430]
 10.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.71 
 (17.50) 
 [0.762] 
83.69
(5)
[1.206]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
12.07
(97)
[-0.279]
11.91
(93)
[-0.290]
6.17
(15)
[-0.793]
5.21
(4)
[-0.898]
87.22
(3)
[1.040]
92.63
(2)
[0.989]
93.52
(18)
[0.690]
7.37
(2)
[-0.989]
1.52
(21)
[-0.340]
92.63
(2)
[0.957]
88.95
(2)
[0.905]
1.67
(3)
[-0.431]
92.85
(2)
[0.923]
11.83
(90)
[-0.296]
8.93
(102)
[-0.236]
15.46
(3)
[-1.041]
12.57
(3)
[-0.999]
92.63
(2)
[0.989]
87.24
(3)
[1.019]
87.24
(5)
[0.991]
7.28
(10)
[-0.671]
91.14
(5)
[0.945]
4.28
(16)
[-0.358]
14.22
(28)
[-0.524]
84.64
(17)
[0.736]
4.43
(2)
[-0.599]
85.63
(4)
[0.968]
80.21
(6)
[1.051]
88.43
(4)
[0.893]
88.46
(5)
[0.861]
88.35
(25)
[0.727]
88.63
(15)
[0.697]
3.52
(14)
[-0.406]
 11.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.81 
 (26.28) 
 [0.716] 
80.72
(26)
[1.077]
9.87
(52)
[-0.458]
6.62
(70)
[-0.425]
5.08
(25)
[-0.607]
5.27
(33)
[-0.603]
6.05
(10)
[-0.798]
7.03
(27)
[-0.838]
85.07
(25)
[0.924]
90.47
(27)
[0.865]
91.24
(52)
[0.562]
9.53
(27)
[-0.865]
1.93
(54)
[-0.313]
90.18
(27)
[0.822]
86.52
(25)
[0.809]
2.73
(34)
[-0.359]
90.51
(27)
[0.790]
9.09
(21)
[-0.478]
6.86
(33)
[-0.374]
16.84
(22)
[-0.963]
14.61
(26)
[-0.881]
90.47
(27)
[0.865]
85.70
(21)
[0.931]
85.89
(23)
[0.914]
7.28
(11)
[-0.671]
90.01
(24)
[0.879]
4.15
(11)
[-0.367]
12.90
(18)
[-0.615]
84.97
(13)
[0.756]
5.26
(24)
[-0.548]
84.40
(20)
[0.905]
79.21
(17)
[0.994]
87.68
(17)
[0.849]
87.98
(17)
[0.831]
87.23
(43)
[0.666]
89.36
(10)
[0.740]
3.27
(7)
[-0.423]
 12.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.77 
 (16.56) 
 [0.765] 
83.83
(4)
[1.212]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
12.04
(95)
[-0.280]
12.00
(94)
[-0.286]
5.79
(7)
[-0.810]
4.77
(1)
[-0.913]
87.27
(2)
[1.043]
92.56
(3)
[0.985]
93.67
(14)
[0.698]
7.44
(3)
[-0.985]
1.49
(17)
[-0.342]
92.56
(4)
[0.953]
88.85
(3)
[0.901]
1.90
(6)
[-0.416]
92.83
(3)
[0.922]
11.51
(83)
[-0.317]
8.50
(95)
[-0.265]
15.42
(2)
[-1.043]
12.41
(2)
[-1.008]
92.56
(3)
[0.985]
87.30
(2)
[1.022]
87.29
(4)
[0.993]
7.32
(12)
[-0.669]
91.22
(4)
[0.950]
4.14
(10)
[-0.368]
13.71
(26)
[-0.559]
85.21
(10)
[0.770]
4.45
(3)
[-0.598]
85.53
(5)
[0.963]
80.25
(4)
[1.054]
88.34
(5)
[0.888]
88.38
(8)
[0.856]
88.40
(21)
[0.730]
88.43
(18)
[0.686]
3.82
(21)
[-0.385]
 13.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  90.20 
 (22.67) 
 [0.737] 
82.38
(13)
[1.149]
12.24
(69)
[-0.341]
1.68
(26)
[-0.671]
6.65
(65)
[-0.533]
7.09
(70)
[-0.517]
7.16
(28)
[-0.746]
7.20
(30)
[-0.832]
86.46
(11)
[0.999]
91.19
(19)
[0.907]
93.96
(10)
[0.715]
8.81
(19)
[-0.907]
1.43
(14)
[-0.346]
91.96
(13)
[0.920]
87.93
(12)
[0.864]
2.02
(9)
[-0.407]
92.26
(13)
[0.890]
10.29
(44)
[-0.397]
7.67
(71)
[-0.321]
16.72
(20)
[-0.969]
14.09
(19)
[-0.911]
91.19
(19)
[0.907]
85.60
(24)
[0.924]
86.66
(11)
[0.958]
7.32
(13)
[-0.669]
90.61
(12)
[0.914]
4.30
(18)
[-0.357]
13.08
(21)
[-0.602]
84.81
(15)
[0.746]
4.52
(7)
[-0.593]
85.33
(8)
[0.952]
79.69
(13)
[1.022]
88.17
(10)
[0.878]
88.26
(12)
[0.849]
89.23
(13)
[0.776]
87.49
(30)
[0.631]
3.56
(15)
[-0.403]
 14.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.63 
 (18.83) 
 [0.758] 
83.47
(7)
[1.197]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
12.17
(100)
[-0.274]
12.21
(97)
[-0.276]
6.12
(13)
[-0.795]
5.26
(5)
[-0.896]
87.13
(6)
[1.035]
92.55
(4)
[0.984]
93.54
(17)
[0.691]
7.45
(4)
[-0.984]
1.52
(20)
[-0.340]
92.58
(3)
[0.954]
88.82
(4)
[0.900]
1.74
(4)
[-0.427]
92.80
(4)
[0.921]
11.86
(91)
[-0.293]
8.93
(101)
[-0.237]
15.62
(6)
[-1.032]
12.68
(4)
[-0.992]
92.55
(4)
[0.984]
87.09
(4)
[1.010]
87.14
(6)
[0.985]
7.33
(14)
[-0.668]
91.07
(6)
[0.941]
4.30
(17)
[-0.357]
14.29
(29)
[-0.519]
84.57
(18)
[0.731]
4.51
(6)
[-0.594]
85.47
(6)
[0.960]
80.05
(7)
[1.042]
88.33
(6)
[0.887]
88.37
(9)
[0.855]
88.37
(22)
[0.729]
88.43
(16)
[0.686]
3.60
(16)
[-0.400]
 15.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.70 
 (28.64) 
 [0.710] 
80.38
(27)
[1.062]
10.64
(60)
[-0.419]
6.26
(62)
[-0.443]
5.90
(48)
[-0.568]
5.98
(52)
[-0.569]
6.22
(17)
[-0.791]
7.10
(28)
[-0.835]
85.00
(26)
[0.920]
90.41
(28)
[0.862]
91.33
(47)
[0.567]
9.59
(28)
[-0.862]
1.93
(53)
[-0.313]
90.13
(28)
[0.819]
86.48
(26)
[0.807]
2.70
(33)
[-0.362]
90.49
(28)
[0.789]
9.28
(28)
[-0.464]
6.92
(38)
[-0.370]
16.95
(23)
[-0.956]
14.59
(25)
[-0.883]
90.41
(28)
[0.862]
85.62
(23)
[0.926]
85.80
(24)
[0.909]
7.34
(15)
[-0.668]
89.88
(25)
[0.871]
4.18
(13)
[-0.365]
12.96
(20)
[-0.611]
84.87
(14)
[0.750]
5.26
(25)
[-0.548]
84.34
(23)
[0.902]
79.19
(18)
[0.993]
87.63
(20)
[0.846]
87.92
(18)
[0.828]
87.26
(42)
[0.667]
89.18
(12)
[0.730]
3.27
(6)
[-0.423]
 16.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.56 
 (20.25) 
 [0.754] 
83.23
(8)
[1.186]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
12.54
(102)
[-0.256]
12.37
(98)
[-0.269]
5.97
(9)
[-0.802]
5.32
(8)
[-0.894]
87.05
(7)
[1.031]
92.47
(5)
[0.980]
93.58
(16)
[0.693]
7.53
(5)
[-0.980]
1.48
(15)
[-0.343]
92.51
(5)
[0.950]
88.71
(5)
[0.895]
1.86
(5)
[-0.419]
92.76
(5)
[0.918]
11.90
(92)
[-0.291]
9.00
(107)
[-0.232]
15.65
(7)
[-1.030]
12.75
(5)
[-0.989]
92.47
(5)
[0.980]
87.00
(5)
[1.005]
87.07
(7)
[0.981]
7.38
(16)
[-0.664]
91.06
(7)
[0.941]
4.32
(20)
[-0.356]
14.35
(32)
[-0.515]
84.51
(19)
[0.728]
4.55
(8)
[-0.591]
85.37
(7)
[0.954]
79.94
(11)
[1.036]
88.25
(8)
[0.882]
88.29
(10)
[0.850]
88.33
(26)
[0.726]
88.32
(22)
[0.679]
3.79
(20)
[-0.387]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 17.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (26.53) 
 [0.698] 
75.14
(41)
[0.834]
12.13
(67)
[-0.346]
9.85
(98)
[-0.264]
4.38
(14)
[-0.640]
4.37
(11)
[-0.645]
4.51
(1)
[-0.871]
8.89
(40)
[-0.776]
83.45
(32)
[0.836]
88.12
(38)
[0.730]
90.73
(61)
[0.534]
11.88
(38)
[-0.730]
1.48
(16)
[-0.343]
88.07
(40)
[0.705]
83.92
(39)
[0.705]
3.75
(53)
[-0.290]
88.72
(41)
[0.689]
6.55
(6)
[-0.646]
3.90
(4)
[-0.571]
17.51
(27)
[-0.924]
14.86
(28)
[-0.867]
88.12
(38)
[0.730]
84.63
(29)
[0.869]
84.95
(29)
[0.861]
7.59
(17)
[-0.651]
87.58
(37)
[0.735]
3.25
(1)
[-0.430]
9.89
(2)
[-0.822]
88.52
(1)
[0.972]
4.76
(9)
[-0.579]
84.94
(13)
[0.932]
79.62
(14)
[1.018]
87.84
(14)
[0.858]
88.25
(13)
[0.848]
88.92
(14)
[0.759]
88.43
(17)
[0.686]
3.40
(12)
[-0.414]
 18.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.21 
 (31.97) 
 [0.682] 
80.05
(28)
[1.048]
9.10
(49)
[-0.495]
9.02
(91)
[-0.306]
3.87
(7)
[-0.664]
4.15
(8)
[-0.655]
7.95
(40)
[-0.709]
7.44
(31)
[-0.824]
84.00
(30)
[0.866]
89.72
(30)
[0.822]
90.01
(69)
[0.493]
10.28
(30)
[-0.822]
2.26
(71)
[-0.291]
89.15
(32)
[0.765]
85.31
(29)
[0.760]
3.10
(45)
[-0.335]
89.49
(35)
[0.733]
8.98
(20)
[-0.485]
6.79
(32)
[-0.379]
17.61
(28)
[-0.918]
15.42
(30)
[-0.835]
89.72
(30)
[0.822]
85.03
(26)
[0.892]
85.09
(27)
[0.868]
7.61
(18)
[-0.650]
88.96
(28)
[0.817]
4.25
(15)
[-0.360]
13.48
(24)
[-0.575]
84.38
(20)
[0.720]
5.89
(37)
[-0.509]
83.29
(29)
[0.848]
78.25
(28)
[0.939]
86.93
(27)
[0.805]
87.37
(25)
[0.794]
86.16
(55)
[0.607]
89.52
(9)
[0.750]
3.65
(18)
[-0.397]
 19.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  89.81 
 (28.72) 
 [0.714] 
82.31
(14)
[1.146]
12.21
(68)
[-0.342]
1.90
(27)
[-0.660]
7.47
(73)
[-0.495]
7.82
(73)
[-0.483]
7.15
(27)
[-0.747]
6.67
(22)
[-0.850]
85.88
(21)
[0.967]
90.80
(24)
[0.884]
93.73
(13)
[0.701]
9.20
(24)
[-0.884]
1.54
(22)
[-0.339]
91.54
(18)
[0.897]
87.32
(21)
[0.840]
2.26
(22)
[-0.392]
91.89
(18)
[0.869]
10.76
(61)
[-0.366]
7.96
(80)
[-0.301]
17.31
(26)
[-0.936]
14.51
(24)
[-0.887]
90.80
(24)
[0.884]
85.02
(27)
[0.891]
86.08
(20)
[0.925]
7.63
(19)
[-0.648]
90.11
(23)
[0.884]
4.42
(24)
[-0.349]
13.56
(25)
[-0.570]
84.29
(22)
[0.714]
4.85
(16)
[-0.573]
84.53
(19)
[0.912]
78.84
(22)
[0.973]
87.60
(22)
[0.844]
87.70
(20)
[0.814]
88.36
(23)
[0.728]
87.21
(33)
[0.615]
3.62
(17)
[-0.399]
 20.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.11 
 (25.58) 
 [0.729] 
81.90
(19)
[1.128]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
13.77
(115)
[-0.199]
13.99
(114)
[-0.193]
6.16
(14)
[-0.793]
5.11
(3)
[-0.901]
86.48
(9)
[1.000]
92.02
(6)
[0.954]
93.39
(19)
[0.683]
7.98
(6)
[-0.954]
1.57
(25)
[-0.337]
92.08
(9)
[0.926]
88.03
(8)
[0.868]
2.08
(15)
[-0.404]
92.38
(8)
[0.897]
12.09
(95)
[-0.278]
8.98
(105)
[-0.233]
16.34
(14)
[-0.991]
13.24
(7)
[-0.961]
92.02
(6)
[0.954]
86.41
(10)
[0.971]
86.50
(14)
[0.949]
7.72
(20)
[-0.642]
90.59
(15)
[0.913]
4.37
(21)
[-0.352]
14.54
(39)
[-0.502]
84.29
(23)
[0.714]
4.82
(14)
[-0.575]
84.59
(16)
[0.915]
79.17
(20)
[0.992]
87.64
(18)
[0.847]
87.70
(19)
[0.814]
87.85
(33)
[0.700]
87.65
(27)
[0.640]
4.02
(33)
[-0.371]
 21.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.08 
 (26.11) 
 [0.728] 
81.72
(20)
[1.121]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
13.99
(117)
[-0.188]
14.13
(117)
[-0.186]
6.25
(18)
[-0.789]
5.33
(9)
[-0.894]
86.48
(10)
[1.000]
92.01
(7)
[0.954]
93.38
(20)
[0.682]
7.99
(7)
[-0.954]
1.56
(23)
[-0.338]
92.08
(8)
[0.926]
88.02
(9)
[0.868]
2.05
(13)
[-0.405]
92.38
(9)
[0.896]
12.11
(96)
[-0.277]
9.04
(108)
[-0.230]
16.33
(13)
[-0.991]
13.26
(8)
[-0.959]
92.01
(7)
[0.954]
86.40
(11)
[0.970]
86.51
(13)
[0.949]
7.73
(21)
[-0.642]
90.59
(14)
[0.913]
4.39
(22)
[-0.351]
14.60
(40)
[-0.498]
84.24
(24)
[0.711]
4.82
(13)
[-0.575]
84.59
(17)
[0.915]
79.17
(19)
[0.992]
87.64
(19)
[0.846]
87.69
(21)
[0.814]
87.91
(32)
[0.703]
87.59
(28)
[0.637]
3.89
(25)
[-0.380]
 22.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.09 
 (26.42) 
 [0.728] 
82.24
(15)
[1.143]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
13.36
(112)
[-0.218]
13.57
(110)
[-0.213]
6.08
(11)
[-0.797]
5.33
(10)
[-0.894]
86.43
(12)
[0.997]
91.96
(8)
[0.951]
93.26
(24)
[0.675]
8.04
(8)
[-0.951]
1.58
(26)
[-0.337]
92.03
(12)
[0.924]
87.94
(11)
[0.865]
2.02
(8)
[-0.408]
92.31
(12)
[0.892]
12.29
(98)
[-0.265]
9.26
(112)
[-0.215]
16.24
(11)
[-0.997]
13.21
(6)
[-0.962]
91.96
(8)
[0.951]
86.34
(13)
[0.967]
86.47
(15)
[0.947]
7.76
(22)
[-0.639]
90.63
(11)
[0.915]
4.43
(25)
[-0.348]
14.71
(43)
[-0.490]
84.11
(25)
[0.703]
4.80
(12)
[-0.576]
84.57
(18)
[0.914]
79.04
(21)
[0.984]
87.61
(21)
[0.844]
87.65
(22)
[0.811]
87.68
(37)
[0.691]
87.70
(26)
[0.643]
3.88
(24)
[-0.381]
 23.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (25.97) 
 [0.695] 
79.34
(29)
[1.017]
13.67
(79)
[-0.270]
6.25
(61)
[-0.443]
3.80
(6)
[-0.667]
3.80
(5)
[-0.672]
6.48
(23)
[-0.778]
22.88
(98)
[-0.314]
84.17
(29)
[0.875]
87.97
(40)
[0.722]
94.15
(9)
[0.725]
12.03
(40)
[-0.722]
1.42
(13)
[-0.347]
88.97
(35)
[0.755]
85.23
(31)
[0.757]
3.12
(46)
[-0.333]
89.91
(32)
[0.756]
6.46
(5)
[-0.652]
4.75
(6)
[-0.515]
17.73
(29)
[-0.912]
16.02
(32)
[-0.800]
87.97
(40)
[0.722]
84.11
(31)
[0.839]
84.85
(30)
[0.855]
7.79
(23)
[-0.637]
88.53
(30)
[0.791]
3.93
(3)
[-0.383]
10.70
(5)
[-0.766]
86.81
(3)
[0.868]
4.88
(17)
[-0.571]
84.85
(14)
[0.928]
80.02
(9)
[1.041]
87.75
(16)
[0.853]
88.28
(11)
[0.849]
90.69
(9)
[0.856]
87.01
(37)
[0.603]
3.32
(9)
[-0.420]
 24.  alexandliutao@gmail.com's atom20t14   [large] 0 0 0 0  90.06 
 (27.42) 
 [0.726] 
82.49
(11)
[1.154]
0.25
(11)
[-0.930]
0.00
(1)
[-0.754]
12.70
(105)
[-0.249]
12.82
(105)
[-0.248]
6.35
(19)
[-0.784]
5.30
(6)
[-0.895]
86.35
(13)
[0.993]
91.94
(9)
[0.950]
93.33
(22)
[0.679]
8.06
(9)
[-0.950]
1.58
(27)
[-0.336]
92.03
(10)
[0.924]
87.92
(13)
[0.864]
2.04
(10)
[-0.406]
92.33
(10)
[0.893]
12.32
(99)
[-0.263]
9.25
(110)
[-0.215]
16.50
(15)
[-0.982]
13.43
(11)
[-0.949]
91.94
(9)
[0.950]
86.23
(14)
[0.961]
86.37
(17)
[0.941]
7.80
(24)
[-0.637]
90.52
(16)
[0.909]
4.47
(26)
[-0.345]
14.88
(44)
[-0.478]
83.92
(26)
[0.692]
4.89
(18)
[-0.570]
84.37
(21)
[0.903]
78.83
(23)
[0.972]
87.46
(23)
[0.836]
87.52
(23)
[0.803]
87.72
(34)
[0.693]
87.42
(31)
[0.627]
3.83
(22)
[-0.385]
 24.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.06 
 (27.42) 
 [0.726] 
82.49
(11)
[1.154]
0.25
(11)
[-0.930]
0.00
(1)
[-0.754]
12.70
(105)
[-0.249]
12.82
(105)
[-0.248]
6.35
(19)
[-0.784]
5.30
(6)
[-0.895]
86.35
(13)
[0.993]
91.94
(9)
[0.950]
93.33
(22)
[0.679]
8.06
(9)
[-0.950]
1.58
(27)
[-0.336]
92.03
(10)
[0.924]
87.92
(13)
[0.864]
2.04
(10)
[-0.406]
92.33
(10)
[0.893]
12.32
(99)
[-0.263]
9.25
(110)
[-0.215]
16.50
(15)
[-0.982]
13.43
(11)
[-0.949]
91.94
(9)
[0.950]
86.23
(14)
[0.961]
86.37
(17)
[0.941]
7.80
(24)
[-0.637]
90.52
(16)
[0.909]
4.47
(26)
[-0.345]
14.88
(44)
[-0.478]
83.92
(26)
[0.692]
4.89
(18)
[-0.570]
84.37
(21)
[0.903]
78.83
(23)
[0.972]
87.46
(23)
[0.836]
87.52
(23)
[0.803]
87.72
(34)
[0.693]
87.42
(31)
[0.627]
3.83
(22)
[-0.385]
 26.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.90 
 (30.39) 
 [0.716] 
82.08
(17)
[1.136]
0.72
(16)
[-0.907]
0.00
(1)
[-0.754]
12.55
(104)
[-0.256]
12.82
(104)
[-0.248]
6.42
(21)
[-0.781]
5.45
(11)
[-0.890]
86.14
(16)
[0.982]
91.78
(11)
[0.940]
93.23
(26)
[0.674]
8.22
(11)
[-0.940]
1.64
(35)
[-0.332]
91.88
(14)
[0.915]
87.67
(16)
[0.854]
2.07
(14)
[-0.404]
92.18
(14)
[0.885]
12.45
(101)
[-0.254]
9.40
(115)
[-0.206]
16.67
(18)
[-0.972]
13.62
(14)
[-0.938]
91.78
(11)
[0.940]
86.02
(17)
[0.949]
86.17
(19)
[0.930]
7.94
(26)
[-0.628]
90.51
(18)
[0.908]
4.51
(28)
[-0.342]
15.07
(48)
[-0.466]
83.74
(28)
[0.681]
5.01
(21)
[-0.563]
84.03
(25)
[0.886]
78.52
(25)
[0.954]
87.21
(25)
[0.821]
87.26
(26)
[0.787]
87.47
(38)
[0.679]
87.16
(34)
[0.612]
3.93
(26)
[-0.378]
 27.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.86 
 (30.61) 
 [0.714] 
82.57
(10)
[1.157]
0.73
(18)
[-0.907]
0.00
(1)
[-0.754]
11.87
(93)
[-0.288]
12.05
(95)
[-0.284]
6.45
(22)
[-0.780]
5.82
(12)
[-0.878]
86.02
(18)
[0.975]
91.73
(12)
[0.938]
93.10
(27)
[0.666]
8.27
(12)
[-0.938]
1.65
(36)
[-0.332]
91.81
(15)
[0.912]
87.60
(17)
[0.851]
2.05
(12)
[-0.406]
92.10
(15)
[0.881]
12.59
(102)
[-0.245]
9.57
(117)
[-0.194]
16.81
(21)
[-0.964]
13.80
(17)
[-0.928]
91.73
(12)
[0.938]
85.96
(18)
[0.945]
86.05
(21)
[0.923]
7.99
(27)
[-0.624]
90.45
(19)
[0.905]
4.61
(29)
[-0.335]
15.28
(52)
[-0.451]
83.48
(29)
[0.665]
5.03
(22)
[-0.562]
83.90
(26)
[0.880]
78.31
(26)
[0.943]
87.09
(26)
[0.814]
87.14
(28)
[0.779]
87.35
(40)
[0.672]
87.03
(36)
[0.604]
3.77
(19)
[-0.389]
 28.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.58 
 (34.25) 
 [0.698] 
82.05
(18)
[1.135]
0.73
(18)
[-0.907]
0.00
(1)
[-0.754]
12.31
(101)
[-0.268]
12.42
(99)
[-0.267]
6.62
(24)
[-0.772]
6.00
(14)
[-0.872]
85.69
(22)
[0.957]
91.53
(15)
[0.926]
92.90
(29)
[0.655]
8.47
(15)
[-0.926]
1.77
(42)
[-0.323]
91.61
(16)
[0.900]
87.30
(22)
[0.839]
2.09
(16)
[-0.403]
91.90
(16)
[0.869]
12.91
(103)
[-0.223]
9.86
(120)
[-0.175]
17.19
(24)
[-0.943]
14.13
(20)
[-0.909]
91.53
(15)
[0.926]
85.63
(22)
[0.926]
85.71
(25)
[0.904]
8.19
(28)
[-0.611]
90.26
(21)
[0.893]
4.70
(32)
[-0.329]
15.79
(61)
[-0.415]
82.95
(36)
[0.633]
5.27
(26)
[-0.547]
83.37
(28)
[0.852]
77.80
(29)
[0.913]
86.74
(28)
[0.794]
86.80
(29)
[0.758]
87.01
(47)
[0.654]
86.69
(41)
[0.584]
3.98
(30)
[-0.374]
 29.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.45 
 (36.11) 
 [0.691] 
81.35
(23)
[1.104]
0.72
(17)
[-0.907]
0.00
(1)
[-0.754]
13.17
(110)
[-0.227]
13.43
(109)
[-0.219]
6.66
(25)
[-0.770]
5.96
(13)
[-0.873]
85.59
(23)
[0.952]
91.42
(16)
[0.920]
92.86
(30)
[0.653]
8.58
(16)
[-0.920]
1.82
(47)
[-0.320]
91.50
(19)
[0.895]
87.13
(23)
[0.833]
2.17
(20)
[-0.397]
91.81
(19)
[0.864]
12.96
(105)
[-0.220]
9.87
(122)
[-0.175]
17.27
(25)
[-0.938]
14.18
(21)
[-0.906]
91.42
(16)
[0.920]
85.52
(25)
[0.920]
85.61
(26)
[0.898]
8.31
(29)
[-0.603]
90.15
(22)
[0.887]
4.65
(30)
[-0.332]
15.76
(59)
[-0.418]
83.02
(34)
[0.637]
5.37
(29)
[-0.540]
83.19
(30)
[0.843]
77.77
(30)
[0.911]
86.64
(29)
[0.788]
86.70
(30)
[0.752]
86.96
(49)
[0.651]
86.55
(42)
[0.576]
4.13
(36)
[-0.364]
 30.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (33.11) 
 [0.639] 
77.73
(32)
[0.947]
15.92
(98)
[-0.160]
6.31
(65)
[-0.440]
3.93
(8)
[-0.661]
3.92
(7)
[-0.666]
7.68
(34)
[-0.722]
24.24
(99)
[-0.270]
82.80
(38)
[0.801]
86.89
(43)
[0.660]
93.65
(15)
[0.697]
13.11
(43)
[-0.660]
1.50
(18)
[-0.342]
88.03
(41)
[0.703]
83.98
(38)
[0.708]
3.27
(50)
[-0.323]
89.03
(38)
[0.706]
7.40
(8)
[-0.590]
5.62
(13)
[-0.457]
19.31
(32)
[-0.821]
17.53
(39)
[-0.713]
86.89
(43)
[0.660]
82.57
(36)
[0.751]
83.49
(36)
[0.778]
8.57
(30)
[-0.586]
87.67
(36)
[0.741]
4.39
(23)
[-0.350]
11.86
(8)
[-0.686]
85.28
(9)
[0.775]
5.30
(28)
[-0.545]
83.46
(27)
[0.857]
78.26
(27)
[0.939]
86.61
(30)
[0.786]
87.16
(27)
[0.781]
89.88
(10)
[0.812]
85.64
(50)
[0.523]
3.51
(13)
[-0.406]
 31.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.89 
 (44.28) 
 [0.612] 
77.06
(34)
[0.918]
13.92
(82)
[-0.258]
7.24
(79)
[-0.394]
6.96
(69)
[-0.519]
7.39
(71)
[-0.503]
7.43
(31)
[-0.734]
12.43
(52)
[-0.660]
82.80
(37)
[0.801]
88.75
(32)
[0.767]
90.41
(63)
[0.515]
11.25
(32)
[-0.767]
2.34
(72)
[-0.286]
88.70
(36)
[0.740]
84.28
(34)
[0.719]
3.08
(43)
[-0.335]
89.13
(36)
[0.712]
10.64
(56)
[-0.374]
7.79
(76)
[-0.313]
19.72
(34)
[-0.798]
16.86
(34)
[-0.752]
88.75
(32)
[0.767]
83.13
(33)
[0.783]
83.66
(34)
[0.787]
8.58
(31)
[-0.585]
88.49
(32)
[0.789]
4.73
(35)
[-0.327]
14.40
(33)
[-0.511]
82.55
(42)
[0.608]
6.34
(48)
[-0.480]
81.53
(38)
[0.759]
76.01
(35)
[0.811]
85.57
(34)
[0.725]
85.89
(34)
[0.703]
85.49
(58)
[0.570]
86.97
(38)
[0.601]
4.10
(34)
[-0.366]
 32.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.74 
 (45.19) 
 [0.606] 
76.58
(36)
[0.897]
14.36
(86)
[-0.236]
7.97
(84)
[-0.358]
5.83
(44)
[-0.572]
6.09
(55)
[-0.564]
7.80
(37)
[-0.716]
15.73
(83)
[-0.551]
82.57
(39)
[0.788]
88.56
(33)
[0.756]
90.34
(64)
[0.512]
11.44
(33)
[-0.756]
2.39
(75)
[-0.282]
88.46
(37)
[0.727]
84.00
(37)
[0.708]
3.16
(48)
[-0.330]
88.94
(39)
[0.701]
10.56
(50)
[-0.380]
7.64
(69)
[-0.322]
19.87
(36)
[-0.789]
16.96
(35)
[-0.746]
88.56
(33)
[0.756]
82.98
(34)
[0.774]
83.51
(35)
[0.778]
8.63
(32)
[-0.582]
88.31
(33)
[0.779]
4.74
(36)
[-0.326]
14.31
(31)
[-0.517]
82.46
(44)
[0.603]
6.41
(49)
[-0.476]
81.43
(41)
[0.753]
76.11
(34)
[0.816]
85.55
(35)
[0.723]
85.88
(35)
[0.702]
85.34
(60)
[0.562]
87.12
(35)
[0.610]
4.24
(40)
[-0.357]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 33.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  88.98 
 (41.08) 
 [0.665] 
80.83
(25)
[1.082]
0.72
(15)
[-0.907]
0.00
(1)
[-0.754]
13.58
(113)
[-0.208]
13.77
(112)
[-0.203]
7.21
(29)
[-0.744]
6.65
(21)
[-0.850]
84.96
(27)
[0.918]
90.95
(22)
[0.893]
92.38
(35)
[0.626]
9.05
(22)
[-0.893]
2.06
(62)
[-0.305]
91.03
(24)
[0.869]
86.42
(27)
[0.805]
2.16
(19)
[-0.398]
91.34
(24)
[0.837]
13.51
(113)
[-0.184]
10.43
(123)
[-0.137]
17.80
(30)
[-0.908]
14.72
(27)
[-0.875]
90.95
(22)
[0.893]
84.91
(28)
[0.885]
84.98
(28)
[0.862]
8.73
(33)
[-0.575]
89.69
(27)
[0.860]
4.88
(40)
[-0.316]
16.75
(84)
[-0.350]
81.96
(49)
[0.572]
5.67
(33)
[-0.522]
82.51
(32)
[0.809]
77.13
(31)
[0.875]
86.20
(31)
[0.761]
86.25
(31)
[0.725]
86.48
(51)
[0.625]
86.12
(46)
[0.551]
4.26
(42)
[-0.355]
 34.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  88.05 
 (40.67) 
 [0.621] 
77.09
(33)
[0.919]
14.80
(91)
[-0.215]
4.59
(43)
[-0.526]
6.48
(61)
[-0.542]
7.49
(72)
[-0.498]
8.01
(41)
[-0.706]
12.66
(56)
[-0.652]
83.19
(34)
[0.822]
88.21
(36)
[0.736]
92.08
(40)
[0.609]
11.79
(36)
[-0.736]
1.68
(39)
[-0.329]
89.13
(33)
[0.764]
84.17
(36)
[0.715]
3.08
(42)
[-0.336]
89.62
(33)
[0.740]
10.41
(47)
[-0.389]
7.84
(77)
[-0.309]
19.87
(35)
[-0.789]
17.30
(37)
[-0.727]
88.21
(36)
[0.736]
82.40
(37)
[0.741]
83.84
(32)
[0.797]
8.85
(34)
[-0.567]
87.99
(34)
[0.759]
4.71
(33)
[-0.328]
14.12
(27)
[-0.531]
83.41
(30)
[0.661]
5.55
(32)
[-0.530]
82.41
(33)
[0.804]
76.24
(33)
[0.824]
85.88
(33)
[0.743]
86.18
(32)
[0.720]
88.35
(24)
[0.728]
84.62
(65)
[0.464]
3.95
(27)
[-0.377]
 35.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  88.60 
 (41.75) 
 [0.646] 
78.67
(30)
[0.988]
0.00
(1)
[-0.942]
0.00
(1)
[-0.754]
16.84
(123)
[-0.054]
16.85
(121)
[-0.058]
7.68
(35)
[-0.722]
6.22
(17)
[-0.865]
84.38
(28)
[0.886]
90.66
(25)
[0.876]
92.07
(42)
[0.608]
9.34
(25)
[-0.876]
1.88
(49)
[-0.317]
90.65
(25)
[0.848]
86.00
(28)
[0.788]
2.20
(21)
[-0.396]
91.00
(25)
[0.818]
13.97
(115)
[-0.153]
10.60
(125)
[-0.126]
18.44
(31)
[-0.871]
15.07
(29)
[-0.855]
90.66
(25)
[0.876]
84.47
(30)
[0.860]
84.48
(31)
[0.834]
9.00
(35)
[-0.557]
88.91
(29)
[0.814]
4.94
(44)
[-0.312]
16.37
(79)
[-0.376]
82.32
(47)
[0.594]
5.29
(27)
[-0.546]
82.75
(31)
[0.821]
76.73
(32)
[0.852]
86.08
(32)
[0.755]
86.12
(33)
[0.717]
85.81
(57)
[0.588]
86.49
(43)
[0.573]
4.01
(32)
[-0.372]
 36.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.65 
 (45.44) 
 [0.601] 
76.33
(37)
[0.886]
15.96
(100)
[-0.158]
4.88
(46)
[-0.512]
8.10
(75)
[-0.465]
8.74
(79)
[-0.440]
8.20
(43)
[-0.697]
14.52
(69)
[-0.590]
82.88
(35)
[0.805]
88.35
(34)
[0.743]
92.07
(41)
[0.609]
11.65
(34)
[-0.743]
1.88
(50)
[-0.316]
89.03
(34)
[0.758]
84.17
(35)
[0.715]
2.83
(37)
[-0.353]
89.59
(34)
[0.738]
11.40
(82)
[-0.324]
8.26
(87)
[-0.281]
20.27
(38)
[-0.766]
17.13
(36)
[-0.736]
88.35
(34)
[0.743]
82.37
(38)
[0.739]
83.36
(38)
[0.770]
9.05
(36)
[-0.554]
87.29
(39)
[0.719]
4.84
(39)
[-0.319]
14.30
(30)
[-0.518]
82.83
(39)
[0.626]
5.71
(35)
[-0.520]
81.91
(34)
[0.778]
75.89
(36)
[0.804]
85.52
(36)
[0.721]
85.70
(37)
[0.691]
86.41
(52)
[0.621]
85.34
(52)
[0.506]
4.11
(35)
[-0.365]
 37.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (40.94) 
 [0.587] 
72.27
(49)
[0.709]
18.33
(125)
[-0.041]
9.41
(94)
[-0.286]
4.19
(11)
[-0.649]
3.92
(6)
[-0.667]
7.25
(30)
[-0.742]
6.44
(19)
[-0.857]
81.13
(43)
[0.710]
85.96
(48)
[0.607]
91.24
(51)
[0.562]
14.04
(48)
[-0.607]
1.59
(31)
[-0.335]
87.08
(48)
[0.651]
81.84
(48)
[0.622]
4.45
(77)
[-0.243]
87.81
(47)
[0.637]
8.33
(14)
[-0.527]
5.61
(12)
[-0.457]
21.00
(41)
[-0.725]
18.28
(42)
[-0.670]
85.96
(48)
[0.607]
81.30
(44)
[0.678]
82.16
(41)
[0.702]
9.06
(37)
[-0.553]
85.54
(47)
[0.615]
4.31
(19)
[-0.356]
13.22
(23)
[-0.593]
84.78
(16)
[0.744]
5.88
(36)
[-0.509]
81.62
(36)
[0.764]
75.30
(39)
[0.770]
85.25
(38)
[0.706]
85.71
(36)
[0.692]
88.20
(27)
[0.719]
84.18
(74)
[0.438]
3.98
(29)
[-0.374]
 38.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.36 
 (48.28) 
 [0.584] 
75.57
(40)
[0.853]
15.69
(96)
[-0.171]
5.09
(49)
[-0.501]
8.47
(76)
[-0.448]
8.88
(80)
[-0.433]
8.48
(49)
[-0.684]
14.27
(68)
[-0.599]
82.23
(40)
[0.770]
87.77
(42)
[0.710]
91.83
(44)
[0.595]
12.23
(42)
[-0.710]
1.99
(58)
[-0.309]
88.42
(39)
[0.725]
83.50
(40)
[0.689]
3.08
(41)
[-0.336]
89.06
(37)
[0.708]
11.11
(73)
[-0.343]
8.04
(82)
[-0.296]
20.78
(40)
[-0.737]
17.72
(41)
[-0.702]
87.77
(42)
[0.710]
81.85
(40)
[0.709]
82.89
(39)
[0.743]
9.26
(38)
[-0.540]
86.91
(40)
[0.696]
4.89
(42)
[-0.316]
14.40
(34)
[-0.511]
82.65
(41)
[0.614]
5.94
(38)
[-0.505]
81.45
(40)
[0.755]
75.44
(38)
[0.778]
85.20
(40)
[0.703]
85.44
(42)
[0.675]
86.22
(53)
[0.610]
85.16
(53)
[0.495]
4.24
(41)
[-0.356]
 39.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.71 
 (44.47) 
 [0.603] 
76.64
(35)
[0.899]
15.42
(95)
[-0.184]
2.06
(28)
[-0.652]
9.53
(82)
[-0.398]
10.40
(85)
[-0.361]
7.89
(39)
[-0.712]
13.02
(57)
[-0.640]
83.21
(33)
[0.823]
88.19
(37)
[0.734]
93.25
(25)
[0.674]
11.81
(37)
[-0.734]
1.51
(19)
[-0.341]
89.53
(31)
[0.786]
84.36
(33)
[0.723]
2.73
(35)
[-0.359]
90.10
(30)
[0.767]
11.66
(86)
[-0.307]
8.50
(93)
[-0.266]
20.61
(39)
[-0.747]
17.45
(38)
[-0.718]
88.19
(37)
[0.734]
81.77
(41)
[0.705]
83.46
(37)
[0.776]
9.27
(39)
[-0.539]
87.49
(38)
[0.730]
4.95
(46)
[-0.312]
14.48
(37)
[-0.506]
82.78
(40)
[0.622]
5.49
(31)
[-0.533]
81.85
(35)
[0.775]
75.49
(37)
[0.781]
85.29
(37)
[0.708]
85.48
(41)
[0.678]
87.91
(31)
[0.703]
83.46
(86)
[0.396]
3.99
(31)
[-0.373]
 40.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.31 
 (43.42) 
 [0.579] 
73.33
(45)
[0.755]
16.37
(105)
[-0.138]
5.53
(54)
[-0.479]
4.99
(23)
[-0.611]
5.04
(28)
[-0.614]
7.79
(36)
[-0.717]
10.58
(48)
[-0.721]
81.24
(42)
[0.716]
86.26
(46)
[0.624]
91.76
(46)
[0.591]
13.74
(46)
[-0.624]
1.64
(34)
[-0.332]
87.58
(43)
[0.678]
82.38
(43)
[0.644]
3.98
(57)
[-0.275]
88.27
(43)
[0.663]
9.61
(33)
[-0.443]
6.99
(40)
[-0.366]
21.47
(44)
[-0.698]
18.85
(46)
[-0.637]
86.26
(46)
[0.624]
80.87
(47)
[0.653]
82.00
(42)
[0.693]
9.37
(40)
[-0.533]
85.88
(44)
[0.635]
4.73
(34)
[-0.327]
14.48
(36)
[-0.506]
83.18
(31)
[0.647]
5.97
(42)
[-0.504]
81.48
(39)
[0.756]
75.10
(41)
[0.758]
85.22
(39)
[0.704]
85.60
(38)
[0.685]
88.46
(20)
[0.733]
83.52
(85)
[0.400]
4.19
(37)
[-0.360]
 41.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.31 
 (43.72) 
 [0.578] 
73.69
(43)
[0.771]
16.07
(103)
[-0.152]
6.39
(67)
[-0.436]
4.68
(20)
[-0.626]
4.83
(21)
[-0.624]
7.63
(32)
[-0.724]
8.71
(37)
[-0.782]
81.07
(44)
[0.707]
86.27
(44)
[0.624]
91.24
(49)
[0.562]
13.73
(44)
[-0.624]
1.67
(37)
[-0.330]
87.34
(46)
[0.665]
82.21
(45)
[0.637]
3.96
(55)
[-0.276]
88.02
(44)
[0.649]
9.82
(37)
[-0.429]
7.15
(45)
[-0.355]
21.34
(42)
[-0.705]
18.67
(44)
[-0.647]
86.27
(44)
[0.624]
80.98
(45)
[0.659]
81.93
(43)
[0.689]
9.39
(41)
[-0.531]
85.88
(42)
[0.635]
4.74
(37)
[-0.326]
14.61
(41)
[-0.497]
83.13
(32)
[0.644]
5.95
(40)
[-0.505]
81.41
(42)
[0.752]
75.00
(42)
[0.753]
85.13
(42)
[0.699]
85.49
(39)
[0.678]
87.91
(29)
[0.703]
83.80
(78)
[0.416]
4.21
(38)
[-0.359]
 41.  th's texture2015   [large] 0 0 0 0  87.31 
 (43.72) 
 [0.578] 
73.69
(43)
[0.771]
16.07
(103)
[-0.152]
6.39
(67)
[-0.436]
4.68
(20)
[-0.626]
4.83
(21)
[-0.624]
7.63
(32)
[-0.724]
8.71
(37)
[-0.782]
81.07
(44)
[0.707]
86.27
(44)
[0.624]
91.24
(49)
[0.562]
13.73
(44)
[-0.624]
1.67
(37)
[-0.330]
87.34
(46)
[0.665]
82.21
(45)
[0.637]
3.96
(55)
[-0.276]
88.02
(44)
[0.649]
9.82
(37)
[-0.429]
7.15
(45)
[-0.355]
21.34
(42)
[-0.705]
18.67
(44)
[-0.647]
86.27
(44)
[0.624]
80.98
(45)
[0.659]
81.93
(43)
[0.689]
9.39
(41)
[-0.531]
85.88
(42)
[0.635]
4.74
(37)
[-0.326]
14.61
(41)
[-0.497]
83.13
(32)
[0.644]
5.95
(40)
[-0.505]
81.41
(42)
[0.752]
75.00
(42)
[0.753]
85.13
(42)
[0.699]
85.49
(39)
[0.678]
87.91
(29)
[0.703]
83.80
(78)
[0.416]
4.21
(38)
[-0.359]
 43.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  88.01 
 (46.83) 
 [0.613] 
77.79
(31)
[0.949]
0.31
(13)
[-0.927]
0.00
(1)
[-0.754]
17.01
(125)
[-0.047]
17.16
(124)
[-0.044]
8.03
(42)
[-0.705]
6.54
(20)
[-0.854]
83.64
(31)
[0.846]
90.19
(29)
[0.849]
91.84
(43)
[0.596]
9.81
(29)
[-0.849]
2.00
(59)
[-0.309]
90.22
(26)
[0.824]
85.29
(30)
[0.760]
2.40
(26)
[-0.382]
90.61
(26)
[0.796]
14.75
(120)
[-0.101]
11.14
(127)
[-0.090]
19.44
(33)
[-0.814]
15.83
(31)
[-0.811]
90.19
(29)
[0.849]
83.65
(32)
[0.813]
83.72
(33)
[0.791]
9.48
(43)
[-0.525]
88.51
(31)
[0.790]
5.17
(55)
[-0.296]
17.17
(89)
[-0.321]
81.43
(54)
[0.540]
5.69
(34)
[-0.521]
81.56
(37)
[0.760]
75.29
(40)
[0.770]
85.16
(41)
[0.700]
85.20
(43)
[0.660]
84.89
(65)
[0.537]
85.57
(51)
[0.519]
4.30
(43)
[-0.352]
 44.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.94 
 (49.42) 
 [0.556] 
72.90
(47)
[0.736]
16.83
(108)
[-0.115]
6.35
(66)
[-0.438]
5.73
(38)
[-0.577]
5.70
(43)
[-0.582]
7.88
(38)
[-0.713]
7.58
(33)
[-0.820]
80.61
(48)
[0.682]
86.05
(47)
[0.612]
90.90
(56)
[0.543]
13.95
(47)
[-0.612]
1.80
(45)
[-0.321]
87.08
(49)
[0.650]
81.82
(49)
[0.622]
4.16
(61)
[-0.262]
87.75
(49)
[0.634]
10.14
(41)
[-0.408]
7.48
(60)
[-0.333]
21.86
(47)
[-0.675]
19.20
(48)
[-0.617]
86.05
(47)
[0.612]
80.59
(48)
[0.637]
81.43
(47)
[0.660]
9.59
(44)
[-0.518]
85.14
(49)
[0.592]
4.89
(43)
[-0.316]
15.08
(49)
[-0.464]
82.48
(43)
[0.604]
6.19
(43)
[-0.490]
80.81
(44)
[0.722]
74.26
(45)
[0.710]
84.74
(44)
[0.675]
85.09
(44)
[0.653]
87.18
(44)
[0.663]
83.71
(81)
[0.411]
4.32
(44)
[-0.351]
 45.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.66 
 (60.47) 
 [0.538] 
74.99
(42)
[0.827]
8.02
(42)
[-0.548]
7.49
(80)
[-0.382]
8.81
(79)
[-0.432]
8.60
(78)
[-0.446]
9.74
(64)
[-0.625]
8.96
(42)
[-0.774]
80.72
(47)
[0.688]
87.96
(41)
[0.721]
88.58
(76)
[0.413]
12.04
(41)
[-0.721]
3.05
(99)
[-0.238]
87.41
(44)
[0.669]
82.70
(41)
[0.657]
3.29
(51)
[-0.321]
87.83
(46)
[0.638]
13.04
(106)
[-0.215]
9.74
(118)
[-0.183]
21.83
(46)
[-0.678]
18.52
(43)
[-0.656]
87.96
(41)
[0.721]
82.06
(39)
[0.721]
81.44
(46)
[0.661]
9.69
(45)
[-0.511]
84.84
(52)
[0.574]
5.33
(74)
[-0.285]
17.04
(88)
[-0.330]
79.91
(81)
[0.447]
7.06
(65)
[-0.436]
79.38
(57)
[0.649]
73.46
(51)
[0.665]
84.02
(49)
[0.633]
84.34
(51)
[0.607]
83.30
(88)
[0.450]
86.05
(47)
[0.547]
5.12
(77)
[-0.296]
 46.  th's texture2015   [large] 0 0 0 0  83.29 
 (47.81) 
 [0.421] 
70.99
(55)
[0.653]
70.60
(164)
[2.528]
3.44
(37)
[-0.583]
3.16
(4)
[-0.697]
3.25
(3)
[-0.698]
9.22
(55)
[-0.649]
95.93
(160)
[2.097]
80.89
(46)
[0.697]
84.74
(59)
[0.537]
94.68
(7)
[0.755]
15.26
(59)
[-0.537]
0.98
(7)
[-0.377]
87.64
(42)
[0.682]
82.00
(47)
[0.629]
2.29
(23)
[-0.389]
88.50
(42)
[0.676]
8.62
(16)
[-0.508]
6.41
(23)
[-0.404]
23.23
(58)
[-0.597]
21.01
(71)
[-0.512]
84.74
(59)
[0.537]
78.51
(74)
[0.517]
81.28
(48)
[0.652]
9.78
(46)
[-0.505]
86.15
(41)
[0.651]
5.05
(51)
[-0.304]
9.65
(1)
[-0.839]
82.86
(37)
[0.627]
5.95
(39)
[-0.505]
80.58
(45)
[0.711]
73.61
(46)
[0.673]
84.20
(48)
[0.644]
84.75
(45)
[0.633]
91.24
(7)
[0.887]
79.38
(110)
[0.159]
4.40
(46)
[-0.346]
 47.  th's texture2015   [large] 0 0 0 0  83.11 
 (52.97) 
 [0.408] 
72.98
(46)
[0.740]
64.97
(162)
[2.251]
6.52
(69)
[-0.430]
4.10
(10)
[-0.653]
4.33
(10)
[-0.647]
9.56
(63)
[-0.634]
95.29
(158)
[2.076]
80.28
(49)
[0.664]
85.57
(49)
[0.585]
92.08
(39)
[0.609]
14.43
(49)
[-0.585]
1.59
(29)
[-0.336]
86.89
(50)
[0.640]
81.48
(50)
[0.608]
2.39
(24)
[-0.383]
87.55
(50)
[0.622]
10.41
(46)
[-0.390]
7.78
(75)
[-0.313]
22.71
(50)
[-0.627]
20.09
(54)
[-0.566]
85.57
(49)
[0.585]
79.70
(54)
[0.586]
81.13
(49)
[0.643]
9.86
(47)
[-0.500]
84.52
(54)
[0.555]
5.16
(54)
[-0.297]
10.36
(4)
[-0.790]
81.76
(50)
[0.560]
6.28
(44)
[-0.484]
80.32
(46)
[0.697]
73.52
(50)
[0.668]
84.21
(46)
[0.645]
84.61
(46)
[0.624]
87.29
(41)
[0.669]
82.75
(94)
[0.355]
4.44
(47)
[-0.343]
 48.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.40 
 (54.58) 
 [0.530] 
71.10
(52)
[0.658]
16.56
(106)
[-0.128]
7.11
(76)
[-0.400]
6.36
(59)
[-0.547]
6.69
(65)
[-0.536]
9.26
(56)
[-0.648]
11.49
(49)
[-0.690]
80.10
(51)
[0.655]
85.51
(51)
[0.581]
90.85
(59)
[0.540]
14.49
(51)
[-0.581]
1.88
(51)
[-0.316]
86.69
(51)
[0.629]
81.28
(51)
[0.600]
4.03
(58)
[-0.271]
87.40
(52)
[0.614]
10.17
(43)
[-0.405]
7.67
(70)
[-0.321]
22.46
(49)
[-0.641]
19.96
(51)
[-0.573]
85.51
(51)
[0.581]
79.90
(51)
[0.598]
80.96
(50)
[0.634]
9.89
(48)
[-0.498]
85.10
(51)
[0.590]
5.01
(48)
[-0.307]
15.18
(50)
[-0.458]
82.25
(48)
[0.590]
6.33
(47)
[-0.481]
80.24
(47)
[0.693]
73.61
(47)
[0.673]
84.21
(47)
[0.644]
84.59
(47)
[0.623]
87.04
(46)
[0.656]
82.93
(91)
[0.365]
4.37
(45)
[-0.347]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 49.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.37 
 (51.03) 
 [0.531] 
70.45
(58)
[0.630]
19.69
(134)
[0.026]
5.54
(55)
[-0.479]
4.86
(22)
[-0.618]
4.92
(24)
[-0.619]
8.29
(45)
[-0.693]
15.16
(77)
[-0.570]
80.05
(52)
[0.652]
84.75
(58)
[0.538]
92.21
(37)
[0.616]
15.25
(58)
[-0.538]
1.60
(32)
[-0.335]
86.65
(52)
[0.627]
81.05
(52)
[0.591]
4.20
(63)
[-0.260]
87.52
(51)
[0.621]
9.18
(26)
[-0.472]
6.73
(31)
[-0.383]
22.98
(55)
[-0.611]
20.53
(61)
[-0.540]
84.75
(58)
[0.538]
79.26
(61)
[0.560]
80.78
(52)
[0.624]
10.00
(49)
[-0.491]
85.78
(45)
[0.629]
4.95
(45)
[-0.312]
14.51
(38)
[-0.504]
82.85
(38)
[0.627]
6.29
(46)
[-0.484]
80.16
(48)
[0.689]
73.54
(48)
[0.669]
84.02
(50)
[0.633]
84.56
(48)
[0.621]
88.58
(18)
[0.740]
81.65
(102)
[0.290]
4.45
(48)
[-0.342]
 50.  yuanj's FSEG   [large] 0 0 0 0  85.77 
 (56.92) 
 [0.497] 
69.18
(66)
[0.575]
14.69
(88)
[-0.220]
13.64
(124)
[-0.076]
5.13
(26)
[-0.605]
4.62
(15)
[-0.633]
9.18
(54)
[-0.651]
12.54
(54)
[-0.656]
78.23
(62)
[0.554]
84.45
(61)
[0.520]
87.38
(90)
[0.346]
15.55
(61)
[-0.520]
2.52
(84)
[-0.273]
84.25
(66)
[0.494]
78.83
(63)
[0.503]
4.73
(90)
[-0.224]
85.04
(65)
[0.480]
9.35
(30)
[-0.460]
6.08
(22)
[-0.426]
22.93
(53)
[-0.614]
19.67
(49)
[-0.590]
84.45
(61)
[0.520]
80.09
(49)
[0.608]
79.93
(59)
[0.575]
10.01
(50)
[-0.490]
82.56
(67)
[0.440]
4.70
(31)
[-0.329]
14.47
(35)
[-0.506]
82.95
(35)
[0.633]
6.99
(60)
[-0.440]
79.55
(56)
[0.658]
73.53
(49)
[0.668]
83.84
(52)
[0.623]
84.48
(49)
[0.616]
84.31
(67)
[0.505]
85.99
(48)
[0.544]
4.64
(58)
[-0.329]
 51.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.18 
 (55.00) 
 [0.519] 
70.17
(59)
[0.618]
18.19
(123)
[-0.048]
7.21
(78)
[-0.396]
5.60
(34)
[-0.583]
5.83
(46)
[-0.576]
8.47
(48)
[-0.685]
12.66
(55)
[-0.652]
79.81
(53)
[0.639]
84.89
(57)
[0.545]
91.28
(48)
[0.564]
15.11
(57)
[-0.545]
1.78
(43)
[-0.323]
86.44
(53)
[0.615]
80.80
(53)
[0.581]
4.16
(60)
[-0.263]
87.23
(53)
[0.604]
9.84
(39)
[-0.427]
7.11
(43)
[-0.358]
23.09
(56)
[-0.605]
20.35
(57)
[-0.550]
84.89
(57)
[0.545]
79.30
(59)
[0.563]
80.62
(53)
[0.614]
10.06
(51)
[-0.487]
85.11
(50)
[0.590]
5.02
(49)
[-0.307]
14.97
(46)
[-0.472]
82.43
(45)
[0.601]
6.42
(50)
[-0.476]
79.74
(50)
[0.668]
72.98
(54)
[0.637]
83.73
(55)
[0.616]
84.19
(53)
[0.598]
87.41
(39)
[0.676]
81.91
(101)
[0.306]
4.51
(53)
[-0.338]
 52.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.12 
 (57.11) 
 [0.511] 
71.78
(50)
[0.688]
13.49
(78)
[-0.279]
10.31
(102)
[-0.241]
4.42
(15)
[-0.638]
4.53
(12)
[-0.637]
9.49
(61)
[-0.637]
9.44
(45)
[-0.758]
79.09
(57)
[0.600]
85.51
(50)
[0.581]
88.21
(80)
[0.392]
14.49
(50)
[-0.581]
2.18
(68)
[-0.297]
85.64
(58)
[0.571]
80.14
(57)
[0.555]
4.19
(62)
[-0.260]
86.23
(59)
[0.547]
11.22
(78)
[-0.336]
8.16
(84)
[-0.288]
22.83
(51)
[-0.620]
19.77
(50)
[-0.584]
85.51
(50)
[0.581]
80.08
(50)
[0.608]
80.47
(54)
[0.606]
10.09
(52)
[-0.485]
83.56
(60)
[0.499]
5.13
(52)
[-0.299]
16.18
(76)
[-0.389]
81.45
(53)
[0.541]
6.55
(52)
[-0.467]
79.70
(51)
[0.666]
72.98
(55)
[0.637]
83.83
(53)
[0.622]
84.16
(55)
[0.596]
84.17
(71)
[0.498]
84.81
(56)
[0.475]
4.47
(49)
[-0.341]
 53.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.14 
 (55.28) 
 [0.564] 
75.80
(39)
[0.862]
0.24
(10)
[-0.930]
0.00
(1)
[-0.754]
19.37
(127)
[0.064]
19.24
(127)
[0.055]
8.34
(46)
[-0.691]
7.67
(34)
[-0.817]
82.81
(36)
[0.801]
89.60
(31)
[0.816]
91.07
(54)
[0.552]
10.40
(31)
[-0.816]
2.43
(77)
[-0.279]
89.60
(30)
[0.790]
84.40
(32)
[0.724]
2.47
(29)
[-0.377]
89.96
(31)
[0.759]
15.55
(127)
[-0.049]
12.08
(137)
[-0.027]
20.20
(37)
[-0.770]
16.74
(33)
[-0.759]
89.60
(31)
[0.816]
82.88
(35)
[0.769]
82.83
(40)
[0.740]
10.12
(53)
[-0.483]
87.94
(35)
[0.757]
5.41
(79)
[-0.279]
19.08
(108)
[-0.190]
79.51
(85)
[0.423]
6.56
(53)
[-0.467]
80.08
(49)
[0.685]
74.56
(44)
[0.728]
84.37
(45)
[0.654]
84.41
(50)
[0.611]
84.26
(68)
[0.503]
84.62
(64)
[0.464]
5.43
(82)
[-0.275]
 54.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.24 
 (57.83) 
 [0.517] 
71.65
(51)
[0.682]
14.12
(84)
[-0.248]
8.22
(85)
[-0.346]
5.08
(24)
[-0.607]
5.26
(32)
[-0.603]
9.09
(52)
[-0.656]
8.41
(35)
[-0.792]
79.37
(56)
[0.615]
85.46
(52)
[0.578]
89.64
(70)
[0.472]
14.54
(52)
[-0.578]
2.15
(67)
[-0.298]
86.10
(56)
[0.597]
80.70
(54)
[0.577]
4.33
(68)
[-0.251]
86.79
(56)
[0.579]
11.16
(74)
[-0.340]
8.28
(89)
[-0.280]
22.89
(52)
[-0.617]
20.02
(52)
[-0.570]
85.46
(52)
[0.578]
79.80
(53)
[0.591]
80.44
(57)
[0.604]
10.18
(54)
[-0.479]
84.37
(56)
[0.546]
5.18
(57)
[-0.295]
16.12
(74)
[-0.393]
81.35
(57)
[0.535]
6.61
(56)
[-0.464]
79.67
(52)
[0.664]
72.95
(56)
[0.635]
83.86
(51)
[0.624]
84.21
(52)
[0.599]
85.48
(59)
[0.570]
83.63
(83)
[0.406]
4.50
(52)
[-0.338]
 55.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.08 
 (56.42) 
 [0.513] 
69.91
(60)
[0.606]
18.51
(126)
[-0.032]
6.89
(72)
[-0.412]
5.55
(32)
[-0.585]
5.61
(39)
[-0.587]
8.27
(44)
[-0.694]
13.23
(59)
[-0.633]
79.53
(54)
[0.624]
84.68
(60)
[0.533]
91.13
(53)
[0.556]
15.32
(60)
[-0.533]
1.81
(46)
[-0.321]
86.18
(55)
[0.601]
80.46
(56)
[0.568]
4.30
(65)
[-0.253]
87.01
(54)
[0.591]
10.15
(42)
[-0.407]
7.14
(44)
[-0.356]
23.19
(57)
[-0.600]
20.18
(55)
[-0.560]
84.68
(60)
[0.533]
79.17
(65)
[0.555]
80.46
(55)
[0.605]
10.19
(55)
[-0.478]
85.26
(48)
[0.599]
5.02
(50)
[-0.306]
15.00
(47)
[-0.470]
82.38
(46)
[0.598]
6.48
(51)
[-0.472]
79.62
(54)
[0.662]
73.06
(53)
[0.642]
83.65
(56)
[0.611]
84.07
(56)
[0.591]
86.99
(48)
[0.653]
82.02
(100)
[0.312]
4.53
(54)
[-0.336]
 56.  cbampis's GRPNMF   [large] 0 0 0 0  85.59 
 (60.75) 
 [0.486] 
70.49
(57)
[0.631]
15.93
(99)
[-0.159]
10.70
(105)
[-0.222]
5.70
(37)
[-0.578]
4.96
(26)
[-0.617]
9.49
(62)
[-0.637]
13.73
(61)
[-0.617]
78.48
(61)
[0.567]
84.89
(56)
[0.545]
87.79
(84)
[0.369]
15.11
(56)
[-0.545]
2.44
(79)
[-0.279]
84.91
(61)
[0.531]
79.48
(61)
[0.529]
4.35
(70)
[-0.250]
85.60
(61)
[0.512]
10.51
(48)
[-0.383]
7.34
(53)
[-0.342]
23.50
(61)
[-0.582]
20.33
(56)
[-0.552]
84.89
(56)
[0.545]
79.81
(52)
[0.592]
79.89
(60)
[0.573]
10.22
(56)
[-0.476]
83.70
(59)
[0.507]
5.15
(53)
[-0.297]
15.60
(54)
[-0.429]
81.59
(51)
[0.549]
7.04
(63)
[-0.437]
78.76
(60)
[0.618]
72.33
(59)
[0.600]
83.09
(61)
[0.579]
83.69
(58)
[0.567]
83.78
(76)
[0.476]
84.83
(55)
[0.476]
4.86
(60)
[-0.314]
 57.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.21 
 (58.61) 
 [0.516] 
71.06
(54)
[0.656]
14.75
(89)
[-0.218]
7.08
(75)
[-0.402]
5.56
(33)
[-0.584]
5.75
(44)
[-0.580]
9.07
(51)
[-0.657]
8.92
(41)
[-0.775]
79.45
(55)
[0.619]
85.33
(53)
[0.570]
90.13
(68)
[0.500]
14.67
(53)
[-0.570]
2.08
(63)
[-0.303]
86.25
(54)
[0.605]
80.65
(55)
[0.575]
4.23
(64)
[-0.258]
86.96
(55)
[0.589]
11.20
(77)
[-0.337]
8.30
(90)
[-0.279]
22.98
(54)
[-0.612]
20.08
(53)
[-0.566]
85.33
(53)
[0.570]
79.61
(56)
[0.581]
80.44
(56)
[0.604]
10.24
(57)
[-0.475]
84.56
(53)
[0.557]
5.20
(58)
[-0.294]
16.08
(73)
[-0.396]
81.38
(55)
[0.537]
6.56
(54)
[-0.467]
79.64
(53)
[0.663]
72.90
(57)
[0.633]
83.79
(54)
[0.620]
84.16
(54)
[0.596]
85.93
(56)
[0.595]
83.13
(90)
[0.377]
4.47
(50)
[-0.341]
 58.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.33 
 (62.28) 
 [0.518] 
75.97
(38)
[0.870]
3.38
(27)
[-0.776]
5.53
(53)
[-0.479]
11.82
(92)
[-0.290]
11.49
(89)
[-0.310]
9.12
(53)
[-0.654]
9.34
(44)
[-0.762]
80.26
(50)
[0.663]
88.09
(39)
[0.729]
88.19
(81)
[0.391]
11.91
(39)
[-0.729]
2.47
(80)
[-0.277]
87.40
(45)
[0.668]
82.46
(42)
[0.647]
2.99
(39)
[-0.342]
87.76
(48)
[0.634]
15.08
(123)
[-0.080]
11.74
(133)
[-0.050]
22.40
(48)
[-0.645]
19.06
(47)
[-0.625]
88.09
(39)
[0.729]
81.58
(42)
[0.693]
80.94
(51)
[0.633]
10.34
(58)
[-0.468]
84.38
(55)
[0.547]
5.70
(85)
[-0.259]
18.70
(104)
[-0.216]
79.19
(87)
[0.403]
6.59
(55)
[-0.465]
79.28
(58)
[0.644]
72.37
(58)
[0.602]
83.49
(58)
[0.602]
83.62
(60)
[0.563]
82.61
(93)
[0.412]
84.89
(54)
[0.480]
5.09
(75)
[-0.298]
 59.  th's multi2015   [large] 0 0 0 0  84.84 
 (70.00) 
 [0.447] 
68.43
(74)
[0.542]
17.55
(116)
[-0.080]
14.72
(127)
[-0.022]
5.35
(27)
[-0.594]
4.63
(16)
[-0.633]
12.05
(84)
[-0.516]
14.03
(67)
[-0.607]
77.13
(74)
[0.494]
83.91
(71)
[0.489]
85.99
(106)
[0.268]
16.09
(71)
[-0.489]
3.06
(100)
[-0.237]
83.34
(78)
[0.444]
77.85
(74)
[0.464]
5.02
(103)
[-0.204]
84.09
(78)
[0.426]
9.67
(35)
[-0.438]
6.43
(24)
[-0.403]
24.11
(67)
[-0.547]
20.86
(69)
[-0.521]
83.91
(71)
[0.489]
79.19
(63)
[0.557]
79.03
(71)
[0.524]
10.35
(59)
[-0.468]
81.90
(77)
[0.401]
5.00
(47)
[-0.308]
15.35
(53)
[-0.446]
81.47
(52)
[0.542]
7.99
(81)
[-0.378]
77.89
(76)
[0.573]
72.25
(61)
[0.595]
82.83
(70)
[0.563]
83.56
(65)
[0.560]
82.47
(95)
[0.404]
86.24
(45)
[0.558]
5.08
(73)
[-0.299]
 60.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  85.84 
 (62.94) 
 [0.496] 
70.71
(56)
[0.641]
14.21
(85)
[-0.244]
8.95
(90)
[-0.309]
5.85
(45)
[-0.571]
6.00
(54)
[-0.568]
9.33
(58)
[-0.644]
9.29
(43)
[-0.763]
78.83
(58)
[0.586]
85.12
(54)
[0.558]
88.98
(75)
[0.436]
14.88
(54)
[-0.558]
2.25
(69)
[-0.292]
85.61
(59)
[0.569]
80.07
(58)
[0.552]
4.48
(78)
[-0.241]
86.30
(58)
[0.551]
11.25
(80)
[-0.334]
8.26
(88)
[-0.281]
23.35
(59)
[-0.591]
20.36
(58)
[-0.550]
85.12
(54)
[0.558]
79.48
(58)
[0.573]
80.00
(58)
[0.579]
10.37
(60)
[-0.466]
83.88
(58)
[0.518]
5.23
(63)
[-0.292]
16.32
(78)
[-0.379]
81.13
(68)
[0.522]
6.81
(57)
[-0.451]
79.10
(59)
[0.635]
72.30
(60)
[0.598]
83.42
(59)
[0.598]
83.79
(57)
[0.573]
84.51
(66)
[0.516]
83.81
(77)
[0.417]
4.59
(55)
[-0.333]
 61.  cbampis's GRPNMF   [large] 0 0 0 0  85.20 
 (66.50) 
 [0.465] 
69.69
(62)
[0.597]
16.84
(109)
[-0.114]
11.69
(111)
[-0.173]
5.77
(41)
[-0.575]
5.08
(29)
[-0.612]
9.87
(65)
[-0.619]
15.01
(74)
[-0.574]
77.88
(65)
[0.534]
84.37
(62)
[0.516]
87.58
(86)
[0.357]
15.63
(62)
[-0.516]
2.56
(85)
[-0.271]
84.37
(64)
[0.501]
78.82
(64)
[0.503]
4.38
(72)
[-0.247]
85.12
(64)
[0.484]
10.79
(63)
[-0.364]
7.34
(54)
[-0.342]
23.98
(62)
[-0.554]
20.53
(60)
[-0.540]
84.37
(62)
[0.516]
79.28
(60)
[0.561]
79.42
(63)
[0.546]
10.46
(61)
[-0.460]
83.27
(63)
[0.482]
5.21
(59)
[-0.293]
15.66
(55)
[-0.425]
81.36
(56)
[0.535]
7.20
(68)
[-0.427]
78.39
(69)
[0.599]
72.03
(66)
[0.582]
82.83
(69)
[0.564]
83.40
(70)
[0.550]
83.38
(86)
[0.454]
84.61
(66)
[0.463]
5.00
(67)
[-0.304]
 62.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  85.64 
 (65.72) 
 [0.484] 
71.06
(53)
[0.656]
12.78
(76)
[-0.314]
10.06
(100)
[-0.254]
5.88
(46)
[-0.569]
6.19
(56)
[-0.560]
10.62
(72)
[-0.584]
8.67
(36)
[-0.784]
78.49
(60)
[0.567]
85.06
(55)
[0.555]
88.04
(83)
[0.383]
14.94
(55)
[-0.555]
2.35
(73)
[-0.285]
85.17
(60)
[0.545]
79.52
(60)
[0.530]
4.45
(76)
[-0.243]
85.83
(60)
[0.525]
11.40
(81)
[-0.324]
8.41
(91)
[-0.271]
23.44
(60)
[-0.585]
20.46
(59)
[-0.544]
85.06
(55)
[0.555]
79.56
(57)
[0.578]
79.76
(61)
[0.566]
10.48
(62)
[-0.459]
83.23
(64)
[0.479]
5.27
(70)
[-0.289]
16.65
(83)
[-0.357]
80.84
(74)
[0.504]
7.02
(62)
[-0.438]
78.69
(61)
[0.614]
71.94
(70)
[0.578]
83.10
(60)
[0.579]
83.53
(66)
[0.558]
83.43
(85)
[0.457]
84.53
(67)
[0.458]
4.60
(57)
[-0.332]
 63.  cbampis's GRPNMF   [large] 0 0 0 0  85.08 
 (69.17) 
 [0.459] 
69.84
(61)
[0.603]
16.61
(107)
[-0.126]
11.67
(110)
[-0.174]
5.90
(47)
[-0.569]
5.23
(31)
[-0.605]
10.54
(69)
[-0.587]
15.66
(81)
[-0.553]
77.80
(66)
[0.530]
84.29
(63)
[0.511]
87.25
(93)
[0.338]
15.71
(63)
[-0.511]
2.59
(86)
[-0.269]
84.28
(65)
[0.496]
78.69
(65)
[0.497]
4.42
(75)
[-0.245]
85.00
(66)
[0.477]
10.64
(55)
[-0.374]
7.36
(57)
[-0.341]
24.11
(68)
[-0.547]
20.83
(68)
[-0.523]
84.29
(63)
[0.511]
79.21
(62)
[0.557]
79.29
(64)
[0.539]
10.51
(63)
[-0.457]
83.00
(66)
[0.466]
5.24
(68)
[-0.291]
15.81
(64)
[-0.414]
81.21
(62)
[0.527]
7.30
(73)
[-0.421]
78.18
(72)
[0.588]
71.85
(71)
[0.572]
82.67
(71)
[0.554]
83.28
(71)
[0.542]
83.34
(87)
[0.452]
84.52
(68)
[0.458]
5.04
(69)
[-0.302]
 64.  th's texture2015   [large] 0 0 0 0  85.00 
 (69.44) 
 [0.454] 
69.02
(67)
[0.567]
17.30
(114)
[-0.092]
11.85
(112)
[-0.165]
6.28
(54)
[-0.550]
5.66
(42)
[-0.584]
10.79
(74)
[-0.576]
13.75
(62)
[-0.616]
77.50
(67)
[0.514]
84.11
(64)
[0.501]
86.89
(94)
[0.319]
15.89
(64)
[-0.501]
2.60
(87)
[-0.268]
83.99
(70)
[0.480]
78.25
(69)
[0.480]
4.51
(83)
[-0.239]
84.71
(72)
[0.461]
10.81
(65)
[-0.363]
7.51
(62)
[-0.331]
24.06
(63)
[-0.550]
20.75
(63)
[-0.527]
84.11
(64)
[0.501]
79.12
(66)
[0.552]
79.13
(67)
[0.530]
10.55
(64)
[-0.454]
82.11
(72)
[0.413]
5.21
(60)
[-0.293]
15.94
(67)
[-0.405]
81.15
(64)
[0.523]
7.26
(70)
[-0.424]
78.53
(63)
[0.606]
72.19
(62)
[0.592]
83.01
(63)
[0.574]
83.58
(62)
[0.561]
83.57
(81)
[0.465]
84.81
(57)
[0.475]
5.06
(70)
[-0.300]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 64.  cbampis's GRPNMF   [large] 0 0 0 0  85.00 
 (69.72) 
 [0.454] 
69.02
(68)
[0.567]
17.30
(112)
[-0.092]
11.85
(112)
[-0.165]
6.28
(54)
[-0.550]
5.66
(41)
[-0.584]
10.79
(73)
[-0.576]
13.75
(63)
[-0.616]
77.50
(67)
[0.514]
84.11
(64)
[0.501]
86.89
(94)
[0.319]
15.89
(64)
[-0.501]
2.60
(88)
[-0.268]
83.99
(69)
[0.480]
78.25
(67)
[0.480]
4.51
(81)
[-0.239]
84.71
(71)
[0.461]
10.81
(66)
[-0.363]
7.51
(64)
[-0.331]
24.06
(63)
[-0.550]
20.75
(64)
[-0.527]
84.11
(64)
[0.501]
79.12
(66)
[0.552]
79.13
(67)
[0.530]
10.55
(64)
[-0.454]
82.11
(73)
[0.413]
5.21
(62)
[-0.293]
15.94
(68)
[-0.405]
81.15
(65)
[0.523]
7.26
(72)
[-0.424]
78.53
(64)
[0.606]
72.19
(63)
[0.592]
83.01
(63)
[0.574]
83.58
(63)
[0.561]
83.57
(81)
[0.465]
84.81
(59)
[0.475]
5.06
(71)
[-0.300]
 64.  cbampis's GRPNMF   [large] 0 0 0 0  85.00 
 (69.81) 
 [0.454] 
69.02
(68)
[0.567]
17.30
(112)
[-0.092]
11.85
(112)
[-0.165]
6.28
(54)
[-0.550]
5.66
(40)
[-0.584]
10.79
(75)
[-0.576]
13.75
(63)
[-0.616]
77.50
(67)
[0.514]
84.11
(64)
[0.501]
86.89
(96)
[0.319]
15.89
(64)
[-0.501]
2.60
(89)
[-0.268]
83.99
(70)
[0.480]
78.25
(67)
[0.480]
4.51
(82)
[-0.239]
84.71
(72)
[0.461]
10.81
(66)
[-0.363]
7.51
(63)
[-0.331]
24.06
(63)
[-0.550]
20.75
(64)
[-0.527]
84.11
(64)
[0.501]
79.12
(66)
[0.552]
79.13
(67)
[0.530]
10.55
(64)
[-0.454]
82.11
(73)
[0.413]
5.21
(61)
[-0.293]
15.94
(68)
[-0.405]
81.15
(65)
[0.523]
7.26
(71)
[-0.424]
78.53
(64)
[0.606]
72.19
(63)
[0.592]
83.01
(63)
[0.574]
83.58
(63)
[0.561]
83.57
(81)
[0.465]
84.81
(57)
[0.475]
5.06
(72)
[-0.300]
 67.  cbampis's GRPNMF   [large] 0 0 0 0  84.89 
 (72.56) 
 [0.448] 
68.50
(73)
[0.545]
17.60
(117)
[-0.077]
12.48
(117)
[-0.133]
5.82
(43)
[-0.572]
5.17
(30)
[-0.607]
10.58
(70)
[-0.585]
13.90
(66)
[-0.611]
77.22
(72)
[0.499]
83.90
(72)
[0.489]
86.88
(97)
[0.318]
16.10
(72)
[-0.489]
2.63
(91)
[-0.266]
83.73
(74)
[0.466]
77.99
(73)
[0.470]
4.56
(86)
[-0.235]
84.50
(74)
[0.449]
10.90
(69)
[-0.357]
7.42
(58)
[-0.337]
24.25
(71)
[-0.539]
20.77
(66)
[-0.526]
83.90
(72)
[0.489]
78.92
(69)
[0.541]
78.94
(72)
[0.519]
10.62
(67)
[-0.449]
82.11
(71)
[0.413]
5.23
(64)
[-0.292]
15.88
(66)
[-0.410]
81.14
(67)
[0.522]
7.32
(74)
[-0.420]
78.34
(70)
[0.596]
71.98
(69)
[0.580]
82.85
(68)
[0.565]
83.44
(69)
[0.552]
83.29
(89)
[0.449]
84.80
(60)
[0.474]
5.09
(74)
[-0.298]
 68.  cbampis's GRPNMF   [large] 0 0 0 0  84.86 
 (71.31) 
 [0.450] 
68.59
(71)
[0.549]
18.61
(129)
[-0.028]
10.89
(106)
[-0.212]
6.58
(63)
[-0.537]
5.93
(49)
[-0.572]
10.91
(76)
[-0.570]
17.80
(87)
[-0.482]
77.49
(70)
[0.513]
83.87
(74)
[0.487]
87.48
(88)
[0.351]
16.13
(74)
[-0.487]
2.43
(76)
[-0.280]
84.08
(67)
[0.485]
78.25
(70)
[0.480]
4.40
(74)
[-0.246]
84.84
(69)
[0.468]
10.72
(58)
[-0.369]
7.61
(68)
[-0.325]
24.13
(69)
[-0.546]
21.02
(72)
[-0.512]
83.87
(74)
[0.487]
78.76
(70)
[0.532]
79.09
(70)
[0.527]
10.66
(68)
[-0.447]
82.42
(68)
[0.432]
5.24
(67)
[-0.291]
15.71
(56)
[-0.421]
81.30
(58)
[0.532]
7.05
(64)
[-0.436]
78.68
(62)
[0.614]
72.14
(65)
[0.589]
83.03
(62)
[0.575]
83.60
(61)
[0.562]
84.26
(69)
[0.503]
84.15
(75)
[0.437]
5.01
(68)
[-0.304]
 69.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (76.44) 
 [0.424] 
69.24
(65)
[0.577]
12.28
(70)
[-0.339]
17.03
(131)
[0.093]
7.71
(74)
[-0.483]
6.89
(66)
[-0.527]
11.66
(80)
[-0.535]
11.71
(50)
[-0.683]
76.32
(81)
[0.450]
84.05
(68)
[0.497]
84.15
(110)
[0.165]
15.95
(68)
[-0.497]
3.29
(103)
[-0.222]
82.53
(84)
[0.399]
77.11
(82)
[0.434]
5.00
(101)
[-0.206]
83.26
(85)
[0.378]
10.75
(60)
[-0.367]
7.52
(65)
[-0.330]
24.10
(66)
[-0.548]
20.87
(70)
[-0.521]
84.05
(68)
[0.497]
79.66
(55)
[0.583]
78.46
(79)
[0.492]
10.68
(69)
[-0.446]
80.37
(89)
[0.311]
5.17
(56)
[-0.296]
16.53
(80)
[-0.365]
80.60
(77)
[0.490]
7.88
(80)
[-0.385]
77.38
(80)
[0.547]
71.30
(78)
[0.541]
82.36
(78)
[0.536]
82.95
(80)
[0.522]
80.29
(98)
[0.284]
86.86
(40)
[0.594]
4.99
(66)
[-0.305]
 70.  th's multi2015   [large] 0 0 0 0  84.69 
 (73.81) 
 [0.439] 
68.00
(76)
[0.523]
19.89
(135)
[0.035]
11.97
(116)
[-0.159]
5.67
(36)
[-0.580]
4.97
(27)
[-0.617]
11.66
(79)
[-0.535]
16.55
(85)
[-0.524]
77.34
(71)
[0.505]
83.79
(75)
[0.482]
87.55
(87)
[0.356]
16.21
(75)
[-0.482]
2.39
(74)
[-0.283]
84.02
(68)
[0.482]
78.07
(71)
[0.473]
4.37
(71)
[-0.248]
84.81
(70)
[0.466]
11.18
(75)
[-0.339]
7.27
(48)
[-0.347]
24.72
(79)
[-0.512]
20.81
(67)
[-0.524]
83.79
(75)
[0.482]
78.53
(73)
[0.518]
78.78
(73)
[0.510]
10.70
(70)
[-0.444]
81.94
(76)
[0.403]
5.28
(71)
[-0.289]
15.80
(63)
[-0.415]
81.12
(69)
[0.521]
7.23
(69)
[-0.425]
78.14
(74)
[0.586]
71.70
(72)
[0.563]
82.60
(73)
[0.550]
83.12
(74)
[0.532]
83.64
(80)
[0.469]
83.69
(82)
[0.409]
5.17
(78)
[-0.293]
 71.  cbampis's GRPNMF   [large] 0 0 0 0  84.55 
 (76.75) 
 [0.431] 
67.89
(78)
[0.518]
19.13
(132)
[-0.002]
12.60
(121)
[-0.128]
5.44
(29)
[-0.590]
4.74
(20)
[-0.628]
11.79
(81)
[-0.528]
15.71
(82)
[-0.551]
76.83
(78)
[0.477]
83.45
(77)
[0.463]
86.64
(101)
[0.305]
16.55
(77)
[-0.463]
2.63
(92)
[-0.266]
83.42
(77)
[0.448]
77.54
(78)
[0.452]
4.61
(87)
[-0.232]
84.19
(77)
[0.432]
10.80
(64)
[-0.364]
7.36
(56)
[-0.341]
24.66
(76)
[-0.516]
21.22
(74)
[-0.500]
83.45
(77)
[0.463]
78.43
(77)
[0.513]
78.62
(75)
[0.501]
10.78
(71)
[-0.439]
82.09
(75)
[0.412]
5.28
(72)
[-0.288]
15.96
(70)
[-0.404]
81.03
(70)
[0.515]
7.40
(75)
[-0.415]
77.88
(78)
[0.573]
71.39
(77)
[0.546]
82.43
(76)
[0.540]
83.05
(75)
[0.528]
83.15
(90)
[0.442]
84.26
(72)
[0.443]
5.10
(76)
[-0.297]
 72.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (70.69) 
 [0.455] 
69.50
(63)
[0.588]
16.05
(101)
[-0.154]
9.90
(99)
[-0.262]
5.74
(39)
[-0.576]
5.89
(48)
[-0.574]
10.33
(66)
[-0.597]
18.35
(89)
[-0.464]
77.92
(64)
[0.537]
84.00
(70)
[0.494]
88.41
(78)
[0.404]
16.00
(70)
[-0.494]
2.26
(70)
[-0.291]
84.39
(63)
[0.502]
78.57
(66)
[0.493]
4.34
(69)
[-0.250]
85.24
(63)
[0.491]
10.61
(53)
[-0.376]
7.69
(72)
[-0.319]
24.22
(70)
[-0.541]
21.30
(75)
[-0.496]
84.00
(70)
[0.494]
78.67
(71)
[0.527]
79.21
(65)
[0.534]
10.80
(72)
[-0.438]
83.08
(65)
[0.470]
5.39
(78)
[-0.281]
15.83
(65)
[-0.413]
81.02
(71)
[0.515]
7.42
(76)
[-0.414]
77.88
(77)
[0.573]
71.59
(74)
[0.557]
82.22
(80)
[0.528]
82.96
(79)
[0.523]
83.80
(75)
[0.477]
83.76
(80)
[0.414]
4.73
(59)
[-0.323]
 73.  cbampis's GRPNMF   [large] 0 0 0 0  84.51 
 (77.61) 
 [0.428] 
67.73
(79)
[0.511]
18.30
(124)
[-0.043]
12.54
(120)
[-0.130]
6.26
(53)
[-0.552]
5.78
(45)
[-0.579]
11.08
(77)
[-0.562]
15.54
(80)
[-0.557]
76.61
(79)
[0.466]
83.46
(76)
[0.463]
86.17
(103)
[0.278]
16.54
(76)
[-0.463]
2.73
(93)
[-0.259]
83.16
(79)
[0.434]
77.42
(79)
[0.447]
4.77
(91)
[-0.221]
83.94
(79)
[0.417]
10.52
(49)
[-0.383]
7.36
(55)
[-0.341]
24.70
(77)
[-0.513]
21.54
(81)
[-0.482]
83.46
(76)
[0.463]
78.54
(72)
[0.519]
78.48
(78)
[0.493]
10.81
(73)
[-0.437]
81.70
(80)
[0.389]
5.26
(69)
[-0.290]
16.02
(72)
[-0.400]
80.95
(72)
[0.511]
7.52
(77)
[-0.408]
77.93
(75)
[0.576]
71.57
(75)
[0.556]
82.55
(75)
[0.547]
83.22
(72)
[0.538]
83.12
(91)
[0.440]
84.71
(62)
[0.469]
5.27
(80)
[-0.286]
 74.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.31 
 (59.69) 
 [0.520] 
72.28
(48)
[0.710]
1.12
(20)
[-0.888]
0.69
(22)
[-0.720]
21.74
(129)
[0.176]
21.80
(129)
[0.175]
8.38
(47)
[-0.689]
6.85
(26)
[-0.844]
81.53
(41)
[0.732]
88.24
(35)
[0.737]
90.87
(58)
[0.541]
11.76
(35)
[-0.737]
2.09
(65)
[-0.303]
88.43
(38)
[0.725]
82.36
(44)
[0.643]
3.02
(40)
[-0.340]
88.90
(40)
[0.699]
15.84
(129)
[-0.029]
11.84
(134)
[-0.043]
21.69
(45)
[-0.686]
17.69
(40)
[-0.704]
88.24
(35)
[0.737]
81.35
(43)
[0.680]
81.75
(45)
[0.679]
10.84
(74)
[-0.435]
85.63
(46)
[0.621]
5.52
(83)
[-0.272]
18.38
(100)
[-0.237]
80.12
(79)
[0.460]
6.29
(45)
[-0.484]
79.60
(55)
[0.661]
73.12
(52)
[0.645]
83.59
(57)
[0.608]
83.63
(59)
[0.564]
83.90
(73)
[0.483]
83.44
(87)
[0.395]
4.48
(51)
[-0.340]
 75.  cbampis's GRPNMF   [large] 0 0 0 0  84.77 
 (72.67) 
 [0.443] 
67.46
(81)
[0.500]
17.70
(119)
[-0.072]
11.51
(109)
[-0.181]
5.92
(49)
[-0.567]
5.47
(36)
[-0.593]
10.43
(67)
[-0.593]
14.94
(73)
[-0.577]
76.94
(75)
[0.484]
83.41
(80)
[0.461]
87.33
(91)
[0.343]
16.59
(80)
[-0.461]
2.48
(81)
[-0.276]
83.52
(75)
[0.454]
77.69
(75)
[0.458]
4.71
(88)
[-0.225]
84.39
(75)
[0.443]
10.57
(51)
[-0.379]
7.32
(51)
[-0.344]
24.56
(73)
[-0.522]
21.30
(76)
[-0.496]
83.41
(80)
[0.461]
78.42
(78)
[0.513]
78.60
(76)
[0.500]
10.86
(75)
[-0.434]
81.74
(78)
[0.392]
5.23
(65)
[-0.292]
15.74
(57)
[-0.419]
81.22
(60)
[0.527]
7.16
(66)
[-0.430]
78.49
(66)
[0.604]
71.99
(67)
[0.580]
82.91
(66)
[0.568]
83.47
(67)
[0.554]
83.74
(78)
[0.474]
84.37
(70)
[0.449]
4.90
(62)
[-0.311]
 76.  cbampis's GRPNMF   [large] 0 0 0 0  84.77 
 (73.47) 
 [0.443] 
67.46
(82)
[0.500]
17.70
(118)
[-0.072]
11.51
(108)
[-0.181]
5.92
(49)
[-0.567]
5.47
(37)
[-0.593]
10.44
(68)
[-0.592]
14.93
(72)
[-0.577]
76.94
(76)
[0.483]
83.41
(81)
[0.461]
87.33
(92)
[0.343]
16.59
(81)
[-0.461]
2.48
(82)
[-0.276]
83.52
(76)
[0.454]
77.69
(76)
[0.458]
4.71
(89)
[-0.225]
84.39
(76)
[0.443]
10.57
(52)
[-0.379]
7.32
(52)
[-0.344]
24.56
(74)
[-0.521]
21.30
(77)
[-0.496]
83.41
(81)
[0.461]
78.42
(79)
[0.512]
78.60
(77)
[0.500]
10.86
(76)
[-0.434]
81.74
(79)
[0.391]
5.23
(66)
[-0.292]
15.75
(58)
[-0.419]
81.22
(61)
[0.527]
7.16
(67)
[-0.430]
78.49
(67)
[0.604]
71.99
(68)
[0.580]
82.91
(67)
[0.568]
83.47
(68)
[0.554]
83.74
(79)
[0.474]
84.37
(71)
[0.449]
4.90
(63)
[-0.311]
 77.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  81.99 
 (70.61) 
 [0.346] 
68.55
(72)
[0.547]
61.15
(161)
[2.063]
6.20
(60)
[-0.446]
6.48
(62)
[-0.541]
6.98
(68)
[-0.522]
9.48
(60)
[-0.637]
95.69
(159)
[2.089]
78.65
(59)
[0.576]
84.10
(67)
[0.500]
92.16
(38)
[0.614]
15.90
(67)
[-0.500]
1.76
(41)
[-0.324]
85.83
(57)
[0.582]
79.82
(59)
[0.542]
2.80
(36)
[-0.355]
86.63
(57)
[0.570]
11.67
(87)
[-0.306]
8.50
(94)
[-0.266]
24.56
(75)
[-0.521]
21.38
(78)
[-0.491]
84.10
(67)
[0.500]
77.70
(83)
[0.471]
79.50
(62)
[0.550]
10.86
(77)
[-0.433]
84.35
(57)
[0.545]
5.52
(82)
[-0.272]
11.71
(7)
[-0.697]
80.64
(76)
[0.492]
6.85
(58)
[-0.449]
78.28
(71)
[0.593]
71.17
(80)
[0.533]
82.56
(74)
[0.547]
82.97
(78)
[0.523]
86.69
(50)
[0.636]
80.10
(107)
[0.200]
4.59
(56)
[-0.332]
 78.  cbampis's GRPNMF   [large] 0 0 0 0  85.05 
 (70.83) 
 [0.458] 
68.65
(70)
[0.551]
17.23
(111)
[-0.096]
9.28
(92)
[-0.293]
6.25
(52)
[-0.552]
6.41
(62)
[-0.549]
8.83
(50)
[-0.668]
17.06
(86)
[-0.507]
77.97
(63)
[0.539]
83.87
(73)
[0.487]
89.37
(71)
[0.457]
16.13
(73)
[-0.487]
2.05
(61)
[-0.305]
84.65
(62)
[0.516]
78.92
(62)
[0.507]
4.32
(67)
[-0.251]
85.58
(62)
[0.510]
10.94
(71)
[-0.354]
7.78
(74)
[-0.313]
24.34
(72)
[-0.534]
21.18
(73)
[-0.503]
83.87
(73)
[0.487]
78.50
(75)
[0.517]
79.13
(66)
[0.530]
10.88
(78)
[-0.432]
83.48
(61)
[0.494]
5.39
(77)
[-0.281]
15.80
(62)
[-0.415]
81.19
(63)
[0.525]
7.01
(61)
[-0.439]
78.17
(73)
[0.588]
71.52
(76)
[0.554]
82.42
(77)
[0.539]
83.04
(76)
[0.527]
85.03
(63)
[0.545]
82.35
(97)
[0.332]
4.98
(65)
[-0.305]
 79.  cbampis's GRPNMF   [large] 0 0 0 0  84.40 
 (80.06) 
 [0.422] 
67.69
(80)
[0.509]
17.44
(115)
[-0.085]
12.66
(122)
[-0.125]
6.44
(60)
[-0.543]
5.88
(47)
[-0.574]
11.16
(78)
[-0.558]
15.40
(79)
[-0.561]
76.42
(80)
[0.455]
83.42
(79)
[0.461]
86.12
(104)
[0.275]
16.58
(79)
[-0.461]
2.80
(94)
[-0.255]
83.05
(80)
[0.428]
77.25
(81)
[0.440]
4.90
(95)
[-0.212]
83.86
(81)
[0.413]
10.74
(59)
[-0.368]
7.46
(59)
[-0.335]
24.93
(81)
[-0.501]
21.64
(82)
[-0.476]
83.42
(79)
[0.461]
78.45
(76)
[0.514]
78.25
(81)
[0.480]
10.92
(79)
[-0.430]
81.57
(81)
[0.381]
5.30
(73)
[-0.287]
16.29
(77)
[-0.382]
80.75
(75)
[0.499]
7.66
(78)
[-0.399]
77.63
(79)
[0.560]
71.28
(79)
[0.540]
82.33
(79)
[0.534]
83.01
(77)
[0.526]
82.68
(92)
[0.416]
84.78
(61)
[0.473]
5.33
(81)
[-0.282]
 80.  cbampis's GRPNMF   [large] 0 0 0 0  84.71 
 (74.50) 
 [0.441] 
67.98
(77)
[0.522]
18.52
(127)
[-0.032]
10.12
(101)
[-0.251]
6.33
(57)
[-0.548]
6.19
(57)
[-0.560]
9.36
(59)
[-0.643]
19.34
(95)
[-0.431]
77.20
(73)
[0.497]
83.33
(82)
[0.456]
88.55
(77)
[0.411]
16.67
(82)
[-0.456]
2.09
(64)
[-0.303]
83.96
(72)
[0.479]
78.02
(72)
[0.471]
4.49
(79)
[-0.240]
84.89
(68)
[0.471]
10.84
(68)
[-0.361]
7.58
(67)
[-0.326]
24.76
(80)
[-0.510]
21.50
(80)
[-0.484]
83.33
(82)
[0.456]
78.11
(81)
[0.495]
78.65
(74)
[0.503]
11.01
(80)
[-0.424]
82.32
(70)
[0.425]
5.34
(75)
[-0.284]
15.78
(60)
[-0.416]
81.25
(59)
[0.529]
6.91
(59)
[-0.445]
78.42
(68)
[0.600]
71.65
(73)
[0.561]
82.64
(72)
[0.552]
83.21
(73)
[0.538]
85.22
(62)
[0.555]
82.40
(96)
[0.334]
4.89
(61)
[-0.312]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 81.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  84.49 
 (80.03) 
 [0.420] 
69.47
(64)
[0.587]
7.81
(41)
[-0.558]
16.28
(129)
[0.056]
7.13
(70)
[-0.511]
6.60
(64)
[-0.540]
10.60
(71)
[-0.585]
8.82
(39)
[-0.779]
76.17
(84)
[0.442]
84.01
(69)
[0.495]
84.59
(109)
[0.190]
15.99
(69)
[-0.495]
3.42
(107)
[-0.214]
82.89
(82)
[0.419]
77.31
(80)
[0.443]
5.05
(105)
[-0.202]
83.57
(83)
[0.396]
11.75
(89)
[-0.300]
8.43
(92)
[-0.270]
24.72
(78)
[-0.512]
21.39
(79)
[-0.490]
84.01
(69)
[0.495]
79.17
(64)
[0.555]
77.97
(82)
[0.464]
11.05
(81)
[-0.421]
80.97
(85)
[0.346]
5.37
(76)
[-0.282]
17.65
(92)
[-0.288]
79.78
(83)
[0.439]
8.01
(82)
[-0.377]
76.72
(83)
[0.514]
70.33
(83)
[0.485]
81.87
(81)
[0.507]
82.38
(83)
[0.487]
79.90
(99)
[0.263]
85.92
(49)
[0.539]
5.46
(85)
[-0.273]
 82.  cbampis's GRPNMF   [large] 0 0 0 0  84.07 
 (84.08) 
 [0.403] 
66.95
(83)
[0.477]
18.06
(122)
[-0.054]
11.95
(115)
[-0.160]
6.79
(68)
[-0.527]
6.26
(59)
[-0.556]
11.81
(82)
[-0.528]
14.77
(70)
[-0.582]
76.17
(83)
[0.442]
83.09
(83)
[0.442]
86.06
(105)
[0.272]
16.91
(83)
[-0.442]
2.82
(95)
[-0.253]
82.85
(83)
[0.417]
76.94
(83)
[0.428]
5.03
(104)
[-0.204]
83.67
(82)
[0.402]
10.97
(72)
[-0.353]
7.50
(61)
[-0.331]
25.49
(83)
[-0.468]
22.03
(83)
[-0.454]
83.09
(83)
[0.442]
78.05
(82)
[0.491]
77.80
(84)
[0.454]
11.18
(82)
[-0.413]
81.21
(84)
[0.360]
5.44
(80)
[-0.278]
16.60
(81)
[-0.360]
79.84
(82)
[0.443]
8.31
(84)
[-0.359]
76.90
(82)
[0.523]
70.71
(82)
[0.507]
81.78
(83)
[0.501]
82.52
(82)
[0.496]
82.45
(96)
[0.403]
84.25
(73)
[0.442]
5.72
(88)
[-0.255]
 83.  cbampis's GRPNMF   [large] 0 0 0 0  84.06 
 (82.50) 
 [0.405] 
66.55
(84)
[0.460]
18.89
(131)
[-0.014]
10.39
(104)
[-0.237]
6.34
(58)
[-0.548]
5.97
(51)
[-0.570]
11.87
(83)
[-0.525]
18.45
(90)
[-0.461]
76.30
(82)
[0.449]
82.56
(84)
[0.412]
87.46
(89)
[0.350]
17.44
(84)
[-0.412]
2.44
(78)
[-0.279]
82.99
(81)
[0.425]
76.75
(84)
[0.420]
4.96
(100)
[-0.208]
83.93
(80)
[0.417]
10.94
(70)
[-0.354]
7.56
(66)
[-0.328]
25.58
(84)
[-0.463]
22.20
(84)
[-0.444]
82.56
(84)
[0.412]
77.30
(85)
[0.448]
77.88
(83)
[0.459]
11.42
(83)
[-0.396]
81.44
(82)
[0.374]
5.46
(81)
[-0.276]
16.18
(75)
[-0.389]
80.50
(78)
[0.483]
7.82
(79)
[-0.389]
77.14
(81)
[0.535]
70.78
(81)
[0.511]
81.84
(82)
[0.505]
82.56
(81)
[0.498]
83.78
(77)
[0.476]
82.89
(92)
[0.363]
5.22
(79)
[-0.289]
 84.  alexandliutao@gmail.com's sparse+unsupervised   [normal] 0 0 0 0  83.96 
 (83.22) 
 [0.397] 
68.05
(75)
[0.525]
20.23
(136)
[0.052]
9.81
(97)
[-0.266]
10.43
(87)
[-0.356]
9.77
(83)
[-0.391]
9.33
(57)
[-0.644]
15.76
(84)
[-0.550]
76.83
(77)
[0.478]
83.45
(78)
[0.463]
89.14
(74)
[0.444]
16.55
(78)
[-0.463]
2.48
(83)
[-0.276]
83.86
(73)
[0.473]
77.67
(77)
[0.457]
4.40
(73)
[-0.246]
84.98
(67)
[0.476]
13.51
(112)
[-0.184]
8.79
(99)
[-0.246]
25.32
(82)
[-0.478]
20.59
(62)
[-0.536]
83.45
(78)
[0.463]
77.49
(84)
[0.459]
78.32
(80)
[0.484]
11.55
(84)
[-0.388]
83.47
(62)
[0.493]
5.66
(84)
[-0.262]
16.61
(82)
[-0.359]
79.99
(80)
[0.452]
8.07
(83)
[-0.373]
75.67
(85)
[0.460]
69.49
(85)
[0.437]
80.62
(85)
[0.433]
81.17
(85)
[0.413]
82.51
(94)
[0.406]
81.01
(104)
[0.253]
5.63
(87)
[-0.261]
 85.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (81.25) 
 [0.320] 
61.19
(89)
[0.227]
1.92
(22)
[-0.848]
27.02
(142)
[0.590]
9.33
(81)
[-0.408]
9.05
(81)
[-0.425]
15.17
(90)
[-0.370]
12.12
(51)
[-0.670]
71.69
(91)
[0.199]
81.16
(89)
[0.331]
76.34
(125)
[-0.272]
18.84
(89)
[-0.331]
3.77
(112)
[-0.191]
77.20
(102)
[0.106]
71.87
(90)
[0.227]
6.40
(121)
[-0.111]
77.95
(103)
[0.077]
8.36
(15)
[-0.526]
6.01
(20)
[-0.430]
25.98
(85)
[-0.441]
23.63
(87)
[-0.361]
81.16
(89)
[0.331]
78.15
(80)
[0.497]
75.50
(87)
[0.323]
11.75
(85)
[-0.374]
76.27
(104)
[0.069]
4.88
(41)
[-0.316]
16.00
(71)
[-0.401]
80.93
(73)
[0.510]
9.19
(91)
[-0.304]
75.75
(84)
[0.464]
70.11
(84)
[0.472]
80.97
(84)
[0.454]
81.91
(84)
[0.458]
75.75
(113)
[0.035]
90.27
(6)
[0.793]
4.93
(64)
[-0.309]
 86.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  82.37 
 (92.11) 
 [0.311] 
63.63
(85)
[0.333]
13.43
(77)
[-0.282]
12.67
(123)
[-0.124]
12.14
(99)
[-0.276]
11.40
(88)
[-0.315]
12.60
(85)
[-0.491]
17.82
(88)
[-0.482]
73.95
(87)
[0.321]
81.51
(88)
[0.351]
85.42
(108)
[0.236]
18.49
(88)
[-0.351]
3.62
(109)
[-0.200]
81.12
(88)
[0.321]
74.14
(87)
[0.317]
5.39
(112)
[-0.179]
82.21
(91)
[0.319]
13.90
(114)
[-0.158]
8.52
(96)
[-0.264]
27.73
(86)
[-0.340]
22.35
(86)
[-0.435]
81.51
(88)
[0.351]
75.73
(86)
[0.358]
75.84
(86)
[0.343]
12.67
(86)
[-0.313]
80.63
(88)
[0.326]
5.86
(87)
[-0.248]
17.83
(95)
[-0.275]
78.04
(92)
[0.334]
9.31
(92)
[-0.296]
73.67
(87)
[0.358]
68.16
(86)
[0.361]
79.58
(86)
[0.372]
80.19
(86)
[0.352]
78.95
(102)
[0.211]
82.72
(95)
[0.353]
6.04
(89)
[-0.233]
 87.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  82.21 
 (92.42) 
 [0.304] 
61.60
(88)
[0.244]
16.06
(102)
[-0.153]
10.35
(103)
[-0.239]
14.34
(118)
[-0.172]
14.14
(118)
[-0.186]
13.79
(86)
[-0.435]
18.95
(94)
[-0.444]
74.52
(85)
[0.353]
81.60
(86)
[0.357]
86.84
(98)
[0.316]
18.40
(86)
[-0.357]
3.13
(101)
[-0.233]
82.08
(86)
[0.375]
74.95
(86)
[0.349]
4.50
(80)
[-0.239]
83.09
(86)
[0.369]
14.96
(122)
[-0.088]
9.24
(109)
[-0.216]
28.00
(87)
[-0.325]
22.28
(85)
[-0.439]
81.60
(86)
[0.357]
75.30
(87)
[0.333]
75.94
(85)
[0.348]
12.81
(87)
[-0.304]
81.24
(83)
[0.362]
6.00
(88)
[-0.239]
17.66
(93)
[-0.287]
78.72
(88)
[0.375]
8.50
(85)
[-0.347]
73.95
(86)
[0.373]
67.68
(87)
[0.334]
79.28
(87)
[0.355]
79.66
(87)
[0.320]
79.69
(100)
[0.251]
80.42
(106)
[0.219]
5.56
(86)
[-0.266]
 88.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  81.21 
 (94.19) 
 [0.256] 
62.75
(86)
[0.294]
17.76
(120)
[-0.070]
7.70
(82)
[-0.371]
14.35
(119)
[-0.172]
15.36
(119)
[-0.128]
14.02
(87)
[-0.424]
35.38
(112)
[0.098]
74.28
(86)
[0.339]
81.55
(87)
[0.354]
88.21
(79)
[0.393]
18.45
(87)
[-0.354]
3.33
(104)
[-0.219]
82.45
(85)
[0.395]
75.57
(85)
[0.374]
4.06
(59)
[-0.269]
83.55
(84)
[0.395]
15.59
(128)
[-0.046]
11.65
(132)
[-0.056]
29.29
(89)
[-0.251]
25.35
(92)
[-0.262]
81.55
(87)
[0.354]
73.88
(88)
[0.251]
75.44
(88)
[0.320]
13.50
(88)
[-0.259]
82.38
(69)
[0.429]
6.89
(98)
[-0.176]
18.54
(102)
[-0.226]
75.13
(103)
[0.156]
9.59
(95)
[-0.279]
72.07
(88)
[0.277]
66.36
(88)
[0.258]
78.16
(88)
[0.288]
78.70
(88)
[0.261]
80.42
(97)
[0.291]
78.10
(112)
[0.084]
6.04
(90)
[-0.233]
 89.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  80.45 
 (97.22) 
 [0.205] 
60.10
(90)
[0.179]
13.71
(80)
[-0.269]
19.52
(135)
[0.217]
8.56
(77)
[-0.444]
8.33
(76)
[-0.459]
17.66
(97)
[-0.253]
18.93
(93)
[-0.445]
70.66
(98)
[0.143]
79.10
(93)
[0.213]
81.69
(118)
[0.028]
20.90
(93)
[-0.213]
5.15
(124)
[-0.099]
77.92
(99)
[0.145]
70.61
(96)
[0.176]
6.63
(122)
[-0.095]
79.07
(101)
[0.141]
13.50
(111)
[-0.184]
8.26
(86)
[-0.281]
30.02
(90)
[-0.210]
24.77
(90)
[-0.296]
79.10
(93)
[0.213]
73.70
(90)
[0.241]
73.31
(90)
[0.199]
13.57
(89)
[-0.254]
78.65
(95)
[0.209]
6.13
(89)
[-0.230]
19.16
(110)
[-0.183]
75.30
(100)
[0.167]
11.76
(111)
[-0.145]
70.00
(94)
[0.172]
65.68
(89)
[0.219]
77.53
(89)
[0.251]
78.49
(89)
[0.248]
75.75
(112)
[0.035]
83.37
(88)
[0.391]
7.20
(103)
[-0.154]
 90.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (94.94) 
 [0.187] 
56.37
(93)
[0.017]
11.93
(66)
[-0.356]
19.79
(136)
[0.231]
11.55
(89)
[-0.303]
10.29
(84)
[-0.366]
18.21
(100)
[-0.227]
9.63
(46)
[-0.752]
69.45
(102)
[0.078]
78.26
(95)
[0.165]
81.24
(120)
[0.002]
21.74
(95)
[-0.165]
4.16
(118)
[-0.165]
76.31
(103)
[0.056]
68.88
(102)
[0.108]
7.37
(129)
[-0.045]
77.86
(105)
[0.072]
11.99
(94)
[-0.285]
6.71
(30)
[-0.384]
30.48
(91)
[-0.183]
25.20
(91)
[-0.271]
78.26
(95)
[0.165]
73.70
(89)
[0.241]
72.48
(93)
[0.152]
13.66
(90)
[-0.247]
76.83
(102)
[0.102]
5.74
(86)
[-0.256]
18.34
(99)
[-0.240]
78.12
(90)
[0.338]
11.74
(110)
[-0.146]
68.74
(99)
[0.107]
63.73
(92)
[0.107]
75.91
(95)
[0.156]
77.00
(93)
[0.156]
73.11
(123)
[-0.111]
83.24
(89)
[0.383]
5.45
(84)
[-0.273]
 91.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (89.58) 
 [0.214] 
56.96
(92)
[0.042]
32.75
(146)
[0.667]
6.74
(71)
[-0.419]
7.45
(72)
[-0.496]
7.05
(69)
[-0.519]
15.50
(91)
[-0.354]
38.33
(117)
[0.196]
72.29
(89)
[0.232]
77.63
(96)
[0.129]
90.76
(60)
[0.535]
22.37
(96)
[-0.129]
1.70
(40)
[-0.328]
80.75
(89)
[0.301]
72.92
(89)
[0.268]
4.90
(96)
[-0.212]
82.35
(89)
[0.327]
11.72
(88)
[-0.303]
7.91
(78)
[-0.304]
31.90
(95)
[-0.102]
28.09
(99)
[-0.104]
77.63
(96)
[0.129]
70.77
(96)
[0.073]
73.29
(91)
[0.198]
13.96
(91)
[-0.228]
80.10
(91)
[0.295]
6.64
(94)
[-0.194]
17.51
(90)
[-0.298]
78.28
(89)
[0.348]
8.61
(86)
[-0.340]
71.79
(89)
[0.263]
64.05
(91)
[0.125]
76.75
(90)
[0.205]
77.95
(90)
[0.215]
86.18
(54)
[0.608]
72.30
(132)
[-0.254]
6.37
(93)
[-0.210]
 92.  test's MW3AR8   [large] 0 0 0 0  77.52 
 (90.94) 
 [0.094] 
53.66
(101)
[-0.101]
51.40
(151)
[1.585]
14.21
(125)
[-0.047]
5.54
(31)
[-0.585]
6.33
(61)
[-0.553]
19.86
(107)
[-0.149]
84.27
(147)
[1.712]
70.15
(100)
[0.116]
75.41
(105)
[0.002]
89.36
(72)
[0.457]
24.59
(105)
[-0.002]
2.63
(90)
[-0.266]
77.82
(100)
[0.140]
70.24
(98)
[0.162]
3.77
(54)
[-0.289]
79.67
(99)
[0.175]
9.58
(32)
[-0.445]
5.07
(8)
[-0.493]
33.58
(98)
[-0.006]
29.07
(102)
[-0.048]
75.41
(105)
[0.002]
68.97
(100)
[-0.030]
71.85
(99)
[0.116]
14.15
(92)
[-0.215]
77.98
(99)
[0.170]
6.79
(96)
[-0.183]
12.76
(16)
[-0.625]
77.91
(93)
[0.326]
10.00
(100)
[-0.254]
69.95
(95)
[0.169]
63.41
(93)
[0.088]
75.67
(98)
[0.142]
77.17
(91)
[0.167]
84.21
(70)
[0.500]
73.49
(129)
[-0.185]
7.98
(112)
[-0.100]
 93.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (82.36) 
 [0.105] 
53.04
(103)
[-0.129]
59.53
(159)
[1.984]
3.20
(35)
[-0.595]
5.63
(35)
[-0.581]
6.96
(67)
[-0.523]
19.32
(105)
[-0.175]
86.19
(149)
[1.776]
71.89
(90)
[0.210]
74.66
(107)
[-0.042]
95.04
(6)
[0.775]
25.34
(107)
[0.042]
0.74
(4)
[-0.392]
80.43
(91)
[0.284]
71.78
(92)
[0.223]
3.09
(44)
[-0.335]
82.43
(88)
[0.331]
8.17
(13)
[-0.538]
5.78
(16)
[-0.446]
34.50
(104)
[0.046]
32.11
(112)
[0.127]
74.66
(107)
[-0.042]
66.84
(114)
[-0.153]
72.27
(97)
[0.140]
14.78
(93)
[-0.173]
80.63
(87)
[0.326]
7.16
(107)
[-0.157]
12.59
(13)
[-0.636]
79.57
(84)
[0.427]
8.97
(88)
[-0.318]
68.82
(98)
[0.111]
61.24
(100)
[-0.036]
73.42
(102)
[0.009]
75.65
(99)
[0.073]
91.53
(4)
[0.902]
64.93
(144)
[-0.684]
7.12
(101)
[-0.159]
 94.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  79.37 
 (95.67) 
 [0.160] 
53.82
(100)
[-0.095]
30.04
(144)
[0.534]
6.29
(64)
[-0.442]
11.74
(91)
[-0.294]
12.53
(100)
[-0.261]
18.38
(101)
[-0.219]
38.14
(116)
[0.189]
71.43
(93)
[0.185]
76.97
(97)
[0.091]
90.51
(62)
[0.521]
23.03
(97)
[-0.091]
1.91
(52)
[-0.314]
80.40
(92)
[0.282]
71.87
(91)
[0.226]
4.82
(92)
[-0.218]
81.95
(92)
[0.304]
14.07
(117)
[-0.147]
9.55
(116)
[-0.196]
33.28
(97)
[-0.023]
28.76
(101)
[-0.066]
76.97
(97)
[0.091]
69.29
(99)
[-0.012]
72.36
(94)
[0.145]
14.98
(94)
[-0.160]
79.33
(92)
[0.249]
6.99
(102)
[-0.169]
18.41
(101)
[-0.235]
76.79
(94)
[0.257]
8.76
(87)
[-0.330]
71.09
(90)
[0.227]
63.15
(94)
[0.074]
76.36
(92)
[0.182]
77.13
(92)
[0.164]
83.88
(74)
[0.482]
71.98
(133)
[-0.273]
6.39
(94)
[-0.209]
 95.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  79.74 
 (100.89) 
 [0.163] 
57.49
(91)
[0.065]
12.77
(75)
[-0.315]
9.60
(96)
[-0.277]
16.88
(124)
[-0.053]
16.89
(122)
[-0.056]
15.15
(89)
[-0.371]
18.87
(92)
[-0.447]
70.62
(99)
[0.141]
79.12
(92)
[0.214]
84.06
(111)
[0.160]
20.88
(92)
[-0.214]
3.05
(98)
[-0.239]
79.39
(97)
[0.226]
71.13
(93)
[0.197]
5.37
(111)
[-0.181]
80.42
(96)
[0.218]
17.14
(134)
[0.057]
12.69
(140)
[0.013]
31.76
(94)
[-0.110]
27.31
(97)
[-0.149]
79.12
(92)
[0.214]
71.94
(94)
[0.140]
72.27
(96)
[0.140]
15.04
(95)
[-0.156]
77.31
(101)
[0.130]
7.01
(103)
[-0.168]
21.50
(117)
[-0.023]
74.82
(107)
[0.137]
9.53
(94)
[-0.283]
70.51
(92)
[0.197]
62.82
(96)
[0.055]
76.44
(91)
[0.187]
76.92
(95)
[0.151]
77.31
(105)
[0.120]
77.51
(113)
[0.049]
6.99
(98)
[-0.168]
 96.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  78.91 
 (96.75) 
 [0.139] 
54.02
(99)
[-0.086]
31.67
(145)
[0.615]
6.26
(63)
[-0.443]
10.12
(85)
[-0.370]
10.52
(87)
[-0.356]
19.13
(104)
[-0.184]
45.75
(129)
[0.440]
70.69
(97)
[0.145]
75.95
(100)
[0.033]
90.22
(65)
[0.505]
24.05
(100)
[-0.033]
1.96
(57)
[-0.311]
79.56
(95)
[0.236]
71.05
(95)
[0.194]
5.14
(108)
[-0.196]
81.21
(94)
[0.262]
12.95
(104)
[-0.221]
8.78
(98)
[-0.247]
33.88
(100)
[0.011]
29.70
(105)
[-0.011]
75.95
(100)
[0.033]
68.51
(104)
[-0.057]
71.67
(100)
[0.106]
15.16
(96)
[-0.148]
78.80
(94)
[0.218]
7.05
(104)
[-0.165]
18.24
(97)
[-0.247]
76.70
(95)
[0.252]
9.05
(90)
[-0.313]
70.60
(91)
[0.202]
62.66
(97)
[0.046]
75.99
(93)
[0.161]
76.95
(94)
[0.153]
84.02
(72)
[0.489]
71.89
(134)
[-0.278]
6.33
(92)
[-0.213]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 97.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  78.92 
 (98.89) 
 [0.135] 
53.30
(102)
[-0.117]
30.03
(143)
[0.534]
5.70
(56)
[-0.471]
12.14
(98)
[-0.276]
12.98
(107)
[-0.240]
18.69
(102)
[-0.204]
39.02
(119)
[0.218]
70.72
(96)
[0.147]
76.25
(99)
[0.050]
90.21
(66)
[0.504]
23.75
(99)
[-0.050]
2.03
(60)
[-0.306]
79.81
(94)
[0.249]
71.11
(94)
[0.196]
4.91
(97)
[-0.212]
81.40
(93)
[0.273]
14.46
(118)
[-0.121]
9.86
(121)
[-0.175]
33.97
(102)
[0.016]
29.37
(103)
[-0.030]
76.25
(99)
[0.050]
68.44
(108)
[-0.061]
71.65
(101)
[0.105]
15.43
(97)
[-0.130]
79.04
(93)
[0.232]
7.12
(106)
[-0.160]
18.67
(103)
[-0.218]
76.43
(97)
[0.235]
8.98
(89)
[-0.317]
70.38
(93)
[0.191]
62.48
(98)
[0.036]
75.77
(97)
[0.147]
76.62
(96)
[0.133]
83.52
(84)
[0.462]
71.50
(135)
[-0.301]
6.49
(95)
[-0.203]
 98.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  79.03 
 (101.75) 
 [0.125] 
54.46
(97)
[-0.066]
10.46
(59)
[-0.428]
7.00
(73)
[-0.406]
27.90
(143)
[0.465]
27.74
(142)
[0.454]
16.09
(92)
[-0.326]
13.39
(60)
[-0.628]
70.77
(95)
[0.149]
79.30
(91)
[0.225]
83.51
(114)
[0.129]
20.70
(91)
[-0.225]
3.80
(114)
[-0.188]
79.48
(96)
[0.231]
68.96
(101)
[0.111]
5.00
(102)
[-0.205]
80.41
(97)
[0.217]
20.54
(146)
[0.283]
13.29
(141)
[0.053]
31.51
(93)
[-0.124]
24.26
(89)
[-0.325]
79.30
(91)
[0.225]
72.20
(93)
[0.155]
72.30
(95)
[0.141]
15.71
(98)
[-0.112]
78.46
(97)
[0.198]
6.91
(100)
[-0.175]
22.86
(125)
[0.071]
75.09
(104)
[0.154]
9.84
(99)
[-0.264]
69.20
(97)
[0.131]
62.43
(99)
[0.032]
75.42
(99)
[0.127]
75.64
(100)
[0.072]
75.04
(115)
[-0.004]
76.68
(119)
[0.001]
6.56
(96)
[-0.197]
 99.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  79.29 
 (100.31) 
 [0.138] 
54.99
(95)
[-0.043]
10.03
(54)
[-0.450]
6.19
(59)
[-0.446]
27.90
(142)
[0.465]
27.55
(140)
[0.445]
14.37
(88)
[-0.407]
13.18
(58)
[-0.635]
71.18
(94)
[0.171]
79.62
(90)
[0.243]
83.93
(112)
[0.153]
20.38
(90)
[-0.243]
3.69
(111)
[-0.196]
79.81
(93)
[0.249]
69.43
(100)
[0.130]
5.06
(107)
[-0.201]
80.75
(95)
[0.236]
20.58
(147)
[0.285]
13.77
(144)
[0.085]
30.97
(92)
[-0.155]
24.16
(88)
[-0.331]
79.62
(90)
[0.243]
72.53
(92)
[0.174]
72.57
(92)
[0.157]
15.72
(99)
[-0.111]
78.58
(96)
[0.205]
6.91
(99)
[-0.175]
23.25
(126)
[0.098]
74.73
(108)
[0.131]
9.74
(96)
[-0.270]
69.69
(96)
[0.156]
63.11
(95)
[0.072]
75.93
(94)
[0.157]
76.09
(97)
[0.100]
75.94
(110)
[0.045]
76.58
(120)
[-0.005]
7.13
(102)
[-0.159]
 100.  xaos's MW3AR w_o pp  [normal] 0 0 0 0  78.87 
 (94.92) 
 [0.131] 
49.64
(107)
[-0.277]
30.02
(142)
[0.533]
2.67
(31)
[-0.622]
16.83
(122)
[-0.055]
17.98
(126)
[-0.005]
19.06
(103)
[-0.187]
29.48
(105)
[-0.097]
71.58
(92)
[0.193]
75.22
(106)
[-0.009]
92.77
(33)
[0.648]
24.78
(106)
[0.009]
1.14
(8)
[-0.365]
80.69
(90)
[0.298]
70.49
(97)
[0.172]
5.63
(113)
[-0.163]
82.25
(90)
[0.321]
11.55
(84)
[-0.314]
8.82
(100)
[-0.244]
33.71
(99)
[0.001]
30.98
(107)
[0.062]
75.22
(106)
[-0.009]
67.90
(110)
[-0.092]
71.97
(98)
[0.123]
15.79
(100)
[-0.106]
80.68
(86)
[0.329]
6.47
(91)
[-0.206]
17.70
(94)
[-0.284]
79.46
(86)
[0.420]
9.34
(93)
[-0.295]
68.44
(100)
[0.092]
60.75
(101)
[-0.063]
73.41
(103)
[0.009]
74.99
(101)
[0.032]
87.69
(36)
[0.691]
65.83
(143)
[-0.631]
7.66
(108)
[-0.122]
 101.  felipecalderero's GSRM unsup. BHAT area-weighted  [normal] 0 0 0 0  75.50 
 (106.72) 
 [-0.061] 
47.60
(110)
[-0.365]
6.58
(38)
[-0.619]
27.13
(143)
[0.596]
18.67
(126)
[0.032]
17.86
(125)
[-0.010]
34.05
(132)
[0.517]
14.93
(71)
[-0.577]
63.26
(119)
[-0.257]
73.21
(112)
[-0.124]
70.52
(137)
[-0.598]
26.79
(112)
[0.124]
6.19
(132)
[-0.029]
69.16
(122)
[-0.339]
60.87
(120)
[-0.210]
9.91
(147)
[0.128]
70.44
(123)
[-0.349]
8.88
(19)
[-0.491]
5.76
(14)
[-0.447]
34.89
(105)
[0.069]
31.77
(110)
[0.108]
73.21
(112)
[-0.124]
69.69
(97)
[0.011]
67.42
(113)
[-0.136]
15.83
(101)
[-0.103]
69.12
(126)
[-0.352]
6.26
(90)
[-0.220]
20.29
(113)
[-0.106]
72.91
(112)
[0.021]
17.44
(134)
[0.207]
61.60
(116)
[-0.256]
60.30
(104)
[-0.090]
72.31
(109)
[-0.056]
74.51
(103)
[0.003]
67.18
(128)
[-0.437]
86.93
(39)
[0.598]
9.05
(128)
[-0.027]
 102.  th's texture2015   [large] 0 0 0 0  75.46 
 (111.81) 
 [-0.045] 
46.80
(113)
[-0.400]
18.55
(128)
[-0.031]
27.75
(144)
[0.627]
13.09
(109)
[-0.231]
12.61
(102)
[-0.258]
23.05
(111)
[0.001]
50.11
(130)
[0.585]
63.86
(117)
[-0.225]
74.17
(108)
[-0.069]
77.14
(124)
[-0.227]
25.83
(108)
[0.069]
5.53
(129)
[-0.073]
71.58
(117)
[-0.205]
63.78
(111)
[-0.095]
7.26
(127)
[-0.052]
73.18
(118)
[-0.194]
13.46
(109)
[-0.187]
7.93
(79)
[-0.303]
35.57
(111)
[0.107]
30.04
(106)
[0.008]
74.17
(108)
[-0.069]
68.90
(102)
[-0.034]
67.72
(111)
[-0.119]
15.90
(102)
[-0.099]
73.04
(118)
[-0.121]
6.89
(97)
[-0.176]
19.07
(107)
[-0.190]
73.90
(110)
[0.081]
13.50
(117)
[-0.037]
64.48
(111)
[-0.110]
58.89
(111)
[-0.170]
72.62
(107)
[-0.038]
73.98
(106)
[-0.030]
68.14
(127)
[-0.384]
82.79
(93)
[0.357]
6.57
(97)
[-0.197]
 103.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (102.72) 
 [0.060] 
54.05
(98)
[-0.085]
15.88
(97)
[-0.162]
14.45
(126)
[-0.035]
13.62
(114)
[-0.206]
14.03
(115)
[-0.191]
23.44
(112)
[0.019]
26.47
(102)
[-0.196]
66.75
(105)
[-0.068]
73.67
(111)
[-0.098]
81.41
(119)
[0.012]
26.33
(111)
[0.098]
3.35
(105)
[-0.218]
73.14
(116)
[-0.119]
65.75
(107)
[-0.016]
6.76
(125)
[-0.086]
75.09
(116)
[-0.085]
8.88
(18)
[-0.492]
5.98
(18)
[-0.433]
33.93
(101)
[0.014]
31.03
(108)
[0.065]
73.67
(111)
[-0.098]
68.93
(101)
[-0.033]
69.15
(104)
[-0.037]
15.95
(103)
[-0.096]
74.85
(110)
[-0.015]
6.93
(101)
[-0.173]
17.65
(91)
[-0.288]
78.09
(91)
[0.337]
12.36
(112)
[-0.108]
64.94
(110)
[-0.086]
60.71
(103)
[-0.066]
71.13
(112)
[-0.126]
73.53
(109)
[-0.057]
76.97
(108)
[0.102]
76.81
(117)
[0.008]
6.29
(91)
[-0.216]
 104.  th's texture2015   [large] 0 0 0 0  75.53 
 (107.11) 
 [-0.014] 
47.94
(109)
[-0.350]
28.97
(140)
[0.482]
17.74
(132)
[0.128]
12.78
(107)
[-0.245]
14.11
(116)
[-0.187]
19.87
(108)
[-0.149]
91.15
(152)
[1.940]
66.47
(108)
[-0.083]
73.76
(110)
[-0.093]
86.62
(102)
[0.303]
26.24
(110)
[0.093]
3.49
(108)
[-0.209]
74.90
(110)
[-0.022]
66.84
(104)
[0.027]
4.32
(66)
[-0.251]
77.02
(110)
[0.025]
14.78
(121)
[-0.099]
8.20
(85)
[-0.285]
36.01
(112)
[0.133]
29.43
(104)
[-0.027]
73.76
(110)
[-0.093]
66.61
(116)
[-0.166]
69.02
(105)
[-0.045]
16.09
(104)
[-0.087]
76.10
(106)
[0.059]
7.48
(116)
[-0.135]
15.23
(51)
[-0.454]
75.05
(105)
[0.151]
10.86
(102)
[-0.200]
67.12
(102)
[0.025]
60.27
(105)
[-0.091]
73.79
(101)
[0.031]
74.67
(102)
[0.013]
75.89
(111)
[0.042]
75.26
(123)
[-0.082]
5.43
(83)
[-0.275]
 105.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (104.03) 
 [-0.024] 
54.70
(96)
[-0.056]
15.14
(94)
[-0.198]
23.71
(138)
[0.426]
5.49
(30)
[-0.588]
4.55
(13)
[-0.637]
24.79
(114)
[0.082]
31.43
(107)
[-0.032]
63.98
(116)
[-0.218]
71.55
(114)
[-0.220]
75.39
(129)
[-0.326]
28.45
(114)
[0.220]
4.53
(122)
[-0.140]
69.79
(119)
[-0.304]
61.55
(119)
[-0.184]
8.77
(138)
[0.050]
71.46
(121)
[-0.291]
6.75
(7)
[-0.633]
4.81
(7)
[-0.510]
35.49
(109)
[0.103]
33.56
(115)
[0.211]
71.55
(114)
[-0.220]
67.70
(111)
[-0.103]
67.48
(112)
[-0.132]
16.16
(105)
[-0.082]
73.83
(116)
[-0.075]
6.79
(95)
[-0.183]
19.22
(111)
[-0.180]
74.98
(106)
[0.147]
17.61
(136)
[0.218]
61.29
(118)
[-0.272]
57.57
(113)
[-0.246]
69.20
(118)
[-0.239]
72.50
(113)
[-0.121]
73.38
(121)
[-0.096]
80.01
(108)
[0.195]
9.00
(126)
[-0.030]
 106.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  77.99 
 (106.03) 
 [0.066] 
52.72
(104)
[-0.142]
10.15
(55)
[-0.443]
7.87
(83)
[-0.363]
28.15
(144)
[0.477]
27.80
(143)
[0.457]
16.13
(93)
[-0.325]
13.87
(65)
[-0.612]
69.51
(101)
[0.081]
78.43
(94)
[0.175]
82.72
(115)
[0.085]
21.57
(94)
[-0.175]
4.36
(121)
[-0.151]
78.55
(98)
[0.180]
67.64
(103)
[0.059]
5.18
(109)
[-0.193]
79.52
(100)
[0.166]
21.78
(148)
[0.365]
14.55
(146)
[0.136]
32.69
(96)
[-0.057]
25.46
(93)
[-0.256]
78.43
(94)
[0.175]
70.94
(95)
[0.083]
70.91
(102)
[0.063]
16.65
(106)
[-0.049]
77.38
(100)
[0.134]
7.26
(109)
[-0.150]
24.94
(135)
[0.215]
72.88
(113)
[0.019]
10.91
(103)
[-0.197]
66.98
(103)
[0.017]
60.73
(102)
[-0.065]
74.01
(100)
[0.044]
74.21
(104)
[-0.016]
73.39
(120)
[-0.095]
75.44
(122)
[-0.071]
7.30
(104)
[-0.147]
 107.  alexandliutao@gmail.com's FSEG_onlycolor   [normal] 0 0 0 0  77.22 
 (103.06) 
 [0.050] 
55.86
(94)
[-0.005]
29.32
(141)
[0.499]
7.05
(74)
[-0.403]
11.48
(88)
[-0.306]
12.21
(96)
[-0.276]
16.53
(94)
[-0.306]
60.14
(138)
[0.916]
68.36
(103)
[0.019]
73.79
(109)
[-0.091]
90.88
(57)
[0.542]
26.21
(109)
[0.091]
1.87
(48)
[-0.317]
77.68
(101)
[0.132]
69.51
(99)
[0.133]
5.05
(106)
[-0.202]
79.84
(98)
[0.184]
13.49
(110)
[-0.185]
9.81
(119)
[-0.178]
36.23
(113)
[0.145]
32.55
(113)
[0.153]
73.79
(109)
[-0.091]
66.40
(118)
[-0.178]
69.00
(106)
[-0.046]
16.73
(107)
[-0.044]
78.43
(98)
[0.196]
7.83
(119)
[-0.111]
19.16
(109)
[-0.184]
75.20
(102)
[0.160]
10.20
(101)
[-0.241]
66.75
(104)
[0.006]
59.06
(109)
[-0.161]
72.32
(108)
[-0.055]
74.13
(105)
[-0.021]
85.27
(61)
[0.558]
66.96
(139)
[-0.565]
7.38
(105)
[-0.141]
 108.  th's texture2015   [large] 0 0 0 0  73.16 
 (113.03) 
 [-0.179] 
44.99
(120)
[-0.479]
12.43
(72)
[-0.332]
39.67
(151)
[1.220]
8.83
(80)
[-0.431]
8.13
(74)
[-0.468]
32.91
(128)
[0.464]
40.99
(123)
[0.283]
59.45
(125)
[-0.464]
71.29
(115)
[-0.235]
69.37
(138)
[-0.663]
28.71
(115)
[0.235]
7.82
(143)
[0.080]
66.37
(131)
[-0.492]
58.06
(125)
[-0.322]
9.76
(146)
[0.117]
67.89
(132)
[-0.494]
10.78
(62)
[-0.365]
6.68
(28)
[-0.386]
38.00
(115)
[0.247]
33.90
(118)
[0.231]
71.29
(115)
[-0.235]
67.35
(112)
[-0.123]
64.37
(121)
[-0.309]
16.84
(108)
[-0.036]
67.64
(131)
[-0.440]
7.10
(105)
[-0.162]
21.61
(119)
[-0.015]
69.87
(123)
[-0.165]
18.14
(138)
[0.250]
59.58
(122)
[-0.359]
56.02
(116)
[-0.335]
69.87
(113)
[-0.200]
72.10
(116)
[-0.145]
61.81
(135)
[-0.732]
87.58
(29)
[0.637]
8.87
(125)
[-0.039]
 109.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (113.92) 
 [-0.141] 
43.22
(125)
[-0.556]
49.27
(149)
[1.479]
16.55
(130)
[0.069]
10.30
(86)
[-0.362]
12.56
(101)
[-0.260]
21.99
(110)
[-0.049]
87.38
(150)
[1.815]
64.51
(113)
[-0.190]
71.00
(117)
[-0.251]
90.14
(67)
[0.500]
29.00
(117)
[0.251]
3.79
(113)
[-0.189]
73.90
(115)
[-0.077]
64.47
(110)
[-0.067]
4.55
(85)
[-0.236]
76.51
(112)
[-0.005]
15.32
(124)
[-0.064]
7.98
(81)
[-0.300]
40.43
(121)
[0.385]
33.09
(114)
[0.184]
71.00
(117)
[-0.251]
61.68
(129)
[-0.449]
67.03
(114)
[-0.158]
16.87
(109)
[-0.035]
76.79
(103)
[0.100]
8.38
(126)
[-0.072]
16.76
(85)
[-0.349]
72.32
(114)
[-0.016]
13.51
(118)
[-0.036]
61.60
(117)
[-0.257]
55.09
(122)
[-0.388]
69.68
(115)
[-0.211]
71.15
(120)
[-0.204]
77.54
(104)
[0.133]
67.86
(138)
[-0.513]
9.08
(130)
[-0.025]
 110.  alexandliutao@gmail.com's atom30t23   [large] 0 0 0 0  79.33 
 (98.56) 
 [0.131] 
62.15
(87)
[0.268]
0.68
(14)
[-0.909]
0.00
(1)
[-0.754]
32.43
(149)
[0.678]
33.02
(146)
[0.703]
16.71
(95)
[-0.297]
15.38
(78)
[-0.562]
73.53
(88)
[0.299]
81.95
(85)
[0.377]
83.75
(113)
[0.143]
18.05
(85)
[-0.377]
5.27
(126)
[-0.090]
82.03
(87)
[0.372]
72.93
(88)
[0.268]
3.14
(47)
[-0.332]
82.43
(87)
[0.332]
23.82
(152)
[0.501]
20.23
(153)
[0.514]
29.11
(88)
[-0.261]
25.51
(94)
[-0.253]
81.95
(85)
[0.377]
73.54
(91)
[0.232]
73.76
(89)
[0.225]
17.05
(110)
[-0.022]
80.35
(90)
[0.309]
8.08
(122)
[-0.093]
30.05
(146)
[0.566]
67.71
(130)
[-0.296]
11.24
(108)
[-0.177]
68.27
(101)
[0.083]
64.61
(90)
[0.157]
75.83
(96)
[0.151]
75.90
(98)
[0.088]
76.18
(109)
[0.058]
75.76
(121)
[-0.053]
7.07
(99)
[-0.163]
 111.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (110.61) 
 [0.002] 
41.42
(127)
[-0.634]
15.04
(92)
[-0.203]
12.48
(118)
[-0.133]
27.64
(140)
[0.453]
26.92
(137)
[0.416]
17.80
(98)
[-0.246]
15.13
(75)
[-0.570]
66.53
(106)
[-0.080]
75.75
(102)
[0.021]
82.19
(116)
[0.055]
24.25
(102)
[-0.021]
4.17
(119)
[-0.164]
76.10
(104)
[0.045]
63.63
(114)
[-0.101]
6.72
(123)
[-0.089]
77.48
(106)
[0.051]
20.47
(144)
[0.278]
11.25
(128)
[-0.083]
35.25
(107)
[0.090]
26.03
(95)
[-0.223]
75.75
(102)
[0.021]
68.47
(106)
[-0.059]
68.43
(107)
[-0.079]
17.13
(111)
[-0.018]
75.42
(108)
[0.019]
6.47
(92)
[-0.205]
21.84
(121)
[0.001]
76.07
(98)
[0.213]
11.22
(106)
[-0.178]
66.22
(105)
[-0.021]
59.42
(106)
[-0.140]
73.37
(104)
[0.006]
73.72
(107)
[-0.045]
74.33
(117)
[-0.043]
73.83
(126)
[-0.165]
8.02
(113)
[-0.098]
 111.  xiaofang's LocalGlobalGraph color  [normal] 0 1 0 0  76.67 
 (110.61) 
 [0.002] 
41.42
(127)
[-0.634]
15.04
(92)
[-0.203]
12.48
(118)
[-0.133]
27.64
(140)
[0.453]
26.92
(137)
[0.416]
17.80
(98)
[-0.246]
15.13
(75)
[-0.570]
66.53
(106)
[-0.080]
75.75
(102)
[0.021]
82.19
(116)
[0.055]
24.25
(102)
[-0.021]
4.17
(119)
[-0.164]
76.10
(104)
[0.045]
63.63
(114)
[-0.101]
6.72
(123)
[-0.089]
77.48
(106)
[0.051]
20.47
(144)
[0.278]
11.25
(128)
[-0.083]
35.25
(107)
[0.090]
26.03
(95)
[-0.223]
75.75
(102)
[0.021]
68.47
(106)
[-0.059]
68.43
(107)
[-0.079]
17.13
(111)
[-0.018]
75.42
(108)
[0.019]
6.47
(92)
[-0.205]
21.84
(121)
[0.001]
76.07
(98)
[0.213]
11.22
(106)
[-0.178]
66.22
(105)
[-0.021]
59.42
(106)
[-0.140]
73.37
(104)
[0.006]
73.72
(107)
[-0.045]
74.33
(117)
[-0.043]
73.83
(126)
[-0.165]
8.02
(113)
[-0.098]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 113.  th's texture2015   [large] 0 0 0 0  72.84 
 (114.31) 
 [-0.200] 
45.25
(118)
[-0.467]
9.67
(51)
[-0.467]
40.69
(152)
[1.271]
8.65
(78)
[-0.440]
8.52
(77)
[-0.450]
31.40
(126)
[0.393]
37.91
(115)
[0.182]
58.49
(130)
[-0.515]
70.58
(119)
[-0.275]
69.20
(140)
[-0.672]
29.42
(119)
[0.275]
8.24
(146)
[0.108]
65.29
(135)
[-0.552]
56.86
(130)
[-0.370]
10.39
(151)
[0.160]
67.03
(136)
[-0.543]
10.65
(57)
[-0.374]
6.53
(25)
[-0.396]
38.50
(116)
[0.275]
34.39
(119)
[0.259]
70.58
(119)
[-0.275]
66.81
(115)
[-0.154]
63.77
(122)
[-0.343]
17.21
(113)
[-0.012]
67.58
(132)
[-0.443]
7.20
(108)
[-0.155]
21.80
(120)
[-0.002]
69.36
(125)
[-0.196]
19.04
(139)
[0.306]
57.86
(127)
[-0.447]
54.82
(125)
[-0.404]
68.59
(124)
[-0.275]
71.08
(121)
[-0.208]
59.72
(140)
[-0.847]
88.22
(23)
[0.674]
8.54
(122)
[-0.062]
 114.  th's multi2015   [large] 0 0 0 0  72.26 
 (113.81) 
 [-0.244] 
47.02
(112)
[-0.390]
8.69
(46)
[-0.515]
43.30
(153)
[1.400]
6.62
(64)
[-0.535]
6.19
(58)
[-0.560]
36.33
(135)
[0.624]
25.04
(100)
[-0.243]
57.75
(132)
[-0.556]
69.74
(123)
[-0.324]
63.19
(149)
[-1.009]
30.26
(123)
[0.324]
10.00
(151)
[0.225]
63.86
(136)
[-0.631]
55.23
(133)
[-0.434]
11.81
(154)
[0.256]
65.07
(137)
[-0.654]
8.01
(12)
[-0.549]
5.57
(11)
[-0.460]
39.23
(118)
[0.317]
36.80
(125)
[0.398]
69.74
(123)
[-0.324]
66.59
(117)
[-0.167]
62.60
(127)
[-0.410]
17.25
(114)
[-0.009]
65.72
(136)
[-0.553]
7.30
(111)
[-0.147]
23.90
(128)
[0.143]
63.40
(138)
[-0.559]
24.78
(152)
[0.662]
56.54
(130)
[-0.514]
56.27
(115)
[-0.321]
68.71
(121)
[-0.268]
71.95
(118)
[-0.154]
61.64
(137)
[-0.741]
90.67
(4)
[0.816]
13.12
(154)
[0.252]
 115.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  70.45 
 (113.72) 
 [-0.343] 
45.75
(117)
[-0.446]
1.62
(21)
[-0.863]
57.00
(160)
[2.082]
1.67
(2)
[-0.767]
1.63
(2)
[-0.774]
44.01
(143)
[0.986]
25.44
(101)
[-0.230]
54.14
(137)
[-0.751]
66.91
(133)
[-0.486]
55.47
(159)
[-1.441]
33.09
(133)
[0.486]
11.28
(154)
[0.310]
58.78
(142)
[-0.911]
50.43
(139)
[-0.625]
13.38
(156)
[0.363]
59.89
(146)
[-0.949]
3.44
(2)
[-0.853]
2.81
(2)
[-0.643]
40.65
(123)
[0.398]
40.03
(134)
[0.584]
66.91
(133)
[-0.486]
65.75
(119)
[-0.216]
59.94
(133)
[-0.561]
17.41
(115)
[0.001]
59.35
(143)
[-0.928]
7.34
(112)
[-0.145]
24.04
(129)
[0.153]
60.03
(144)
[-0.765]
28.84
(155)
[0.913]
53.80
(134)
[-0.654]
55.13
(121)
[-0.386]
67.08
(130)
[-0.364]
71.30
(119)
[-0.195]
56.77
(142)
[-1.009]
96.84
(2)
[1.176]
14.48
(157)
[0.345]
 116.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  71.98 
 (118.69) 
 [-0.209] 
43.45
(123)
[-0.546]
53.19
(153)
[1.672]
20.28
(137)
[0.255]
9.91
(84)
[-0.380]
10.51
(86)
[-0.357]
23.45
(113)
[0.020]
94.14
(155)
[2.038]
61.73
(120)
[-0.340]
69.76
(122)
[-0.322]
85.89
(107)
[0.262]
30.24
(122)
[0.322]
4.57
(123)
[-0.137]
70.86
(118)
[-0.244]
61.75
(118)
[-0.176]
4.92
(98)
[-0.211]
73.58
(117)
[-0.171]
15.38
(125)
[-0.060]
8.12
(83)
[-0.290]
40.90
(127)
[0.412]
33.65
(116)
[0.216]
69.76
(122)
[-0.322]
61.81
(127)
[-0.441]
65.03
(119)
[-0.272]
17.53
(116)
[0.009]
74.26
(114)
[-0.049]
8.36
(124)
[-0.074]
16.98
(87)
[-0.334]
71.89
(115)
[-0.042]
14.09
(122)
[-0.000]
60.29
(120)
[-0.323]
53.89
(126)
[-0.456]
68.74
(120)
[-0.266]
70.28
(124)
[-0.257]
73.30
(122)
[-0.100]
70.54
(136)
[-0.357]
9.34
(132)
[-0.007]
 117.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  76.21 
 (113.94) 
 [-0.032] 
50.01
(106)
[-0.260]
13.75
(81)
[-0.266]
9.57
(95)
[-0.278]
23.89
(131)
[0.277]
23.58
(130)
[0.258]
19.87
(109)
[-0.149]
18.55
(91)
[-0.457]
65.96
(110)
[-0.111]
75.73
(104)
[0.020]
78.71
(123)
[-0.139]
24.27
(104)
[-0.020]
3.93
(116)
[-0.180]
75.35
(109)
[0.003]
65.11
(109)
[-0.042]
6.17
(120)
[-0.126]
76.26
(113)
[-0.019]
19.76
(141)
[0.231]
15.43
(148)
[0.195]
35.55
(110)
[0.106]
31.21
(109)
[0.075]
75.73
(104)
[0.020]
68.57
(103)
[-0.053]
68.07
(110)
[-0.099]
17.66
(117)
[0.018]
73.86
(115)
[-0.073]
7.92
(120)
[-0.104]
25.55
(139)
[0.256]
71.14
(119)
[-0.087]
11.45
(109)
[-0.164]
65.21
(108)
[-0.073]
57.66
(112)
[-0.241]
72.29
(110)
[-0.057]
72.94
(111)
[-0.093]
72.72
(124)
[-0.132]
74.52
(125)
[-0.125]
8.12
(117)
[-0.091]
 118.  felipecalderero's GSRM MARKOV unsup. BHAT area-weighted  [normal] 0 0 0 0  73.38 
 (112.42) 
 [-0.171] 
47.31
(111)
[-0.378]
24.59
(137)
[0.266]
29.10
(145)
[0.694]
3.31
(5)
[-0.690]
3.46
(4)
[-0.688]
31.65
(127)
[0.405]
36.53
(114)
[0.136]
59.88
(123)
[-0.440]
67.49
(130)
[-0.453]
76.27
(126)
[-0.276]
32.51
(130)
[0.453]
5.40
(128)
[-0.082]
66.84
(129)
[-0.467]
57.99
(127)
[-0.325]
9.47
(144)
[0.097]
69.10
(129)
[-0.425]
5.59
(4)
[-0.710]
3.95
(5)
[-0.568]
40.24
(119)
[0.375]
38.61
(130)
[0.502]
67.49
(130)
[-0.453]
63.16
(123)
[-0.364]
63.31
(126)
[-0.369]
17.84
(118)
[0.030]
70.00
(122)
[-0.300]
7.40
(114)
[-0.141]
19.68
(112)
[-0.148]
74.66
(109)
[0.127]
17.83
(137)
[0.231]
57.08
(129)
[-0.487]
52.66
(131)
[-0.527]
65.85
(132)
[-0.436]
69.80
(128)
[-0.287]
74.52
(116)
[-0.033]
74.61
(124)
[-0.120]
9.07
(129)
[-0.026]
 119.  daicav's SegTexCol  [large] 0 0 0 0  73.26 
 (119.42) 
 [-0.187] 
45.04
(119)
[-0.477]
6.33
(37)
[-0.631]
34.19
(149)
[0.947]
13.78
(116)
[-0.198]
12.73
(103)
[-0.252]
33.58
(130)
[0.496]
22.44
(97)
[-0.329]
58.76
(128)
[-0.501]
70.91
(118)
[-0.256]
66.13
(143)
[-0.844]
29.09
(118)
[0.256]
6.76
(136)
[0.009]
66.14
(132)
[-0.505]
57.50
(128)
[-0.344]
9.63
(145)
[0.108]
67.27
(135)
[-0.529]
11.92
(93)
[-0.289]
9.37
(114)
[-0.207]
38.62
(117)
[0.282]
36.07
(122)
[0.356]
70.91
(118)
[-0.256]
66.91
(113)
[-0.148]
63.63
(123)
[-0.351]
17.86
(119)
[0.031]
67.82
(130)
[-0.429]
7.44
(115)
[-0.138]
24.37
(131)
[0.175]
69.17
(128)
[-0.207]
17.05
(133)
[0.183]
60.21
(121)
[-0.327]
55.87
(117)
[-0.343]
69.73
(114)
[-0.208]
72.01
(117)
[-0.151]
65.77
(132)
[-0.514]
83.58
(84)
[0.403]
8.78
(124)
[-0.045]
 120.  test's TBES 1.0  [large] 0 0 0 0  74.46 
 (96.03) 
 [-0.081] 
43.43
(124)
[-0.547]
56.34
(156)
[1.827]
2.19
(30)
[-0.645]
5.38
(28)
[-0.593]
6.45
(63)
[-0.547]
27.28
(120)
[0.199]
80.06
(145)
[1.573]
65.64
(112)
[-0.128]
68.15
(128)
[-0.414]
95.50
(4)
[0.801]
31.85
(128)
[0.414]
0.88
(6)
[-0.383]
75.64
(107)
[0.019]
66.02
(105)
[-0.006]
4.53
(84)
[-0.238]
78.45
(102)
[0.106]
7.51
(9)
[-0.582]
6.01
(19)
[-0.431]
41.75
(129)
[0.461]
40.25
(136)
[0.596]
68.15
(128)
[-0.414]
59.33
(133)
[-0.584]
65.93
(116)
[-0.221]
18.00
(120)
[0.041]
76.18
(105)
[0.064]
8.36
(125)
[-0.073]
16.92
(86)
[-0.338]
76.67
(96)
[0.250]
9.82
(98)
[-0.265]
64.42
(112)
[-0.113]
55.54
(119)
[-0.362]
69.52
(117)
[-0.220]
72.19
(115)
[-0.139]
91.42
(5)
[0.896]
58.90
(147)
[-1.035]
7.12
(100)
[-0.159]
 121.  scarpa's TFR/KLD   [normal] 0 1 0 0  76.65 
 (110.22) 
 [-0.011] 
51.25
(105)
[-0.206]
5.84
(35)
[-0.655]
7.16
(77)
[-0.398]
31.64
(146)
[0.641]
31.38
(145)
[0.625]
19.65
(106)
[-0.159]
9.67
(47)
[-0.751]
67.45
(104)
[-0.030]
76.40
(98)
[0.059]
81.12
(121)
[-0.005]
23.60
(98)
[-0.059]
4.09
(117)
[-0.169]
75.80
(106)
[0.028]
65.19
(108)
[-0.039]
7.21
(126)
[-0.056]
77.21
(109)
[0.035]
20.36
(143)
[0.271]
14.36
(145)
[0.124]
34.33
(103)
[0.037]
28.34
(100)
[-0.090]
76.40
(98)
[0.059]
69.58
(98)
[0.004]
69.20
(103)
[-0.034]
18.01
(121)
[0.041]
74.35
(113)
[-0.044]
7.63
(117)
[-0.125]
24.48
(133)
[0.183]
71.43
(118)
[-0.070]
12.64
(116)
[-0.090]
63.75
(113)
[-0.147]
58.96
(110)
[-0.166]
71.77
(111)
[-0.088]
72.35
(114)
[-0.130]
69.11
(126)
[-0.331]
76.80
(118)
[0.008]
8.38
(120)
[-0.073]
 122.  scarpa's TFR  [normal] 0 1 0 0  73.61 
 (118.81) 
 [-0.175] 
46.13
(115)
[-0.429]
2.37
(24)
[-0.826]
23.99
(139)
[0.439]
26.70
(135)
[0.409]
25.23
(134)
[0.336]
28.73
(122)
[0.268]
12.50
(53)
[-0.657]
61.32
(121)
[-0.362]
73.00
(113)
[-0.137]
68.91
(141)
[-0.689]
27.00
(113)
[0.137]
8.56
(148)
[0.129]
68.62
(123)
[-0.368]
59.76
(122)
[-0.255]
8.61
(136)
[0.040]
69.73
(128)
[-0.390]
15.51
(126)
[-0.051]
12.03
(136)
[-0.031]
37.29
(114)
[0.206]
33.80
(117)
[0.225]
73.00
(113)
[-0.137]
68.48
(105)
[-0.058]
64.83
(120)
[-0.283]
18.21
(122)
[0.054]
68.54
(129)
[-0.387]
7.73
(118)
[-0.118]
25.28
(138)
[0.238]
68.13
(129)
[-0.271]
17.47
(135)
[0.209]
57.90
(126)
[-0.445]
55.57
(118)
[-0.361]
68.82
(119)
[-0.262]
70.72
(123)
[-0.230]
61.21
(138)
[-0.765]
84.40
(69)
[0.451]
8.05
(115)
[-0.096]
 123.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  72.68 
 (123.31) 
 [-0.210] 
41.93
(126)
[-0.612]
18.69
(130)
[-0.024]
30.85
(147)
[0.781]
12.05
(96)
[-0.280]
11.82
(92)
[-0.295]
29.92
(124)
[0.323]
40.04
(121)
[0.252]
60.33
(122)
[-0.416]
71.13
(116)
[-0.244]
75.37
(130)
[-0.327]
28.87
(116)
[0.244]
6.68
(134)
[0.003]
69.49
(121)
[-0.320]
60.71
(121)
[-0.217]
8.04
(132)
[0.001]
71.20
(122)
[-0.306]
14.72
(119)
[-0.104]
10.77
(126)
[-0.115]
40.77
(124)
[0.405]
36.82
(126)
[0.399]
71.13
(116)
[-0.244]
64.70
(120)
[-0.275]
63.53
(124)
[-0.357]
18.30
(123)
[0.061]
68.89
(128)
[-0.366]
8.30
(123)
[-0.077]
23.70
(127)
[0.129]
69.26
(126)
[-0.202]
15.19
(124)
[0.068]
58.73
(125)
[-0.403]
53.06
(130)
[-0.504]
68.17
(125)
[-0.299]
69.96
(127)
[-0.277]
66.90
(129)
[-0.452]
76.82
(116)
[0.009]
9.29
(131)
[-0.011]
 124.  yuanj's RS   [large] 0 0 0 1  71.87 
 (123.36) 
 [-0.264] 
46.02
(116)
[-0.434]
13.96
(83)
[-0.256]
30.01
(146)
[0.739]
12.01
(94)
[-0.281]
11.77
(91)
[-0.297]
35.11
(134)
[0.567]
29.91
(106)
[-0.082]
58.75
(129)
[-0.501]
68.89
(127)
[-0.372]
69.30
(139)
[-0.666]
31.11
(127)
[0.372]
8.63
(149)
[0.133]
65.87
(133)
[-0.520]
55.52
(132)
[-0.423]
10.96
(152)
[0.199]
67.35
(134)
[-0.525]
11.23
(79)
[-0.335]
7.70
(73)
[-0.318]
40.64
(122)
[0.397]
37.11
(128)
[0.416]
68.89
(127)
[-0.372]
63.92
(122)
[-0.321]
62.40
(128)
[-0.421]
18.52
(124)
[0.075]
66.67
(134)
[-0.497]
7.96
(121)
[-0.101]
25.08
(137)
[0.224]
61.66
(142)
[-0.665]
23.67
(150)
[0.593]
56.50
(131)
[-0.516]
55.50
(120)
[-0.364]
68.10
(127)
[-0.304]
70.97
(122)
[-0.215]
65.41
(133)
[-0.534]
84.01
(76)
[0.428]
13.09
(153)
[0.249]
 125.  xiaofang's gmm_sift c=7  [normal] 0 0 0 0  75.97 
 (112.56) 
 [-0.039] 
46.33
(114)
[-0.421]
8.84
(47)
[-0.508]
8.62
(86)
[-0.326]
33.26
(150)
[0.717]
33.33
(148)
[0.717]
17.62
(96)
[-0.255]
20.36
(96)
[-0.398]
66.06
(109)
[-0.106]
75.82
(101)
[0.025]
80.03
(122)
[-0.066]
24.18
(101)
[-0.025]
3.84
(115)
[-0.185]
75.50
(108)
[0.011]
63.73
(112)
[-0.097]
6.01
(117)
[-0.137]
76.65
(111)
[0.003]
22.87
(149)
[0.437]
15.90
(149)
[0.227]
35.02
(106)
[0.076]
28.06
(98)
[-0.106]
75.82
(101)
[0.025]
67.95
(109)
[-0.089]
68.26
(109)
[-0.088]
18.56
(125)
[0.078]
74.78
(111)
[-0.019]
7.36
(113)
[-0.143]
24.65
(134)
[0.194]
73.12
(111)
[0.033]
11.12
(105)
[-0.184]
66.03
(107)
[-0.031]
59.11
(108)
[-0.158]
73.03
(106)
[-0.013]
73.33
(110)
[-0.070]
73.99
(119)
[-0.062]
73.27
(130)
[-0.198]
8.32
(119)
[-0.077]
 126.  rohit.iiith's Graph based Segmentation   [normal] 0 0 0 1  71.66 
 (125.22) 
 [-0.257] 
40.32
(129)
[-0.682]
14.75
(90)
[-0.217]
24.05
(140)
[0.442]
26.74
(136)
[0.411]
24.43
(131)
[0.299]
25.10
(115)
[0.097]
45.01
(126)
[0.416]
57.45
(133)
[-0.572]
69.00
(126)
[-0.366]
74.51
(131)
[-0.375]
31.00
(126)
[0.366]
7.58
(141)
[0.064]
65.86
(134)
[-0.520]
55.81
(131)
[-0.412]
8.90
(140)
[0.059]
68.46
(130)
[-0.462]
17.54
(139)
[0.083]
8.99
(106)
[-0.233]
40.34
(120)
[0.380]
31.79
(111)
[0.109]
69.00
(126)
[-0.366]
64.12
(121)
[-0.309]
61.80
(131)
[-0.455]
18.83
(126)
[0.096]
69.96
(123)
[-0.303]
7.27
(110)
[-0.149]
21.14
(114)
[-0.047]
71.82
(116)
[-0.046]
16.27
(129)
[0.135]
57.53
(128)
[-0.464]
53.34
(128)
[-0.488]
68.06
(128)
[-0.306]
69.35
(129)
[-0.314]
61.84
(134)
[-0.730]
79.58
(109)
[0.170]
8.43
(121)
[-0.069]
 127.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (116.47) 
 [-0.459] 
38.00
(132)
[-0.783]
41.53
(148)
[1.099]
52.52
(158)
[1.859]
4.21
(12)
[-0.648]
5.46
(35)
[-0.594]
45.27
(145)
[1.045]
99.63
(163)
[2.220]
51.84
(141)
[-0.875]
64.66
(137)
[-0.615]
72.83
(133)
[-0.469]
35.34
(137)
[0.615]
9.89
(150)
[0.217]
58.77
(143)
[-0.912]
49.29
(140)
[-0.671]
2.88
(38)
[-0.349]
61.50
(142)
[-0.857]
10.61
(54)
[-0.376]
5.14
(9)
[-0.489]
45.13
(134)
[0.654]
39.65
(133)
[0.562]
64.66
(137)
[-0.615]
60.14
(131)
[-0.537]
58.32
(135)
[-0.653]
19.20
(127)
[0.120]
62.95
(138)
[-0.716]
8.48
(127)
[-0.065]
10.29
(3)
[-0.794]
65.13
(134)
[-0.453]
23.02
(148)
[0.553]
51.62
(139)
[-0.765]
49.93
(134)
[-0.684]
64.37
(135)
[-0.523]
67.76
(133)
[-0.412]
55.31
(146)
[-1.089]
88.07
(24)
[0.665]
8.26
(118)
[-0.081]
 128.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (103.67) 
 [-0.195] 
37.72
(133)
[-0.795]
59.77
(160)
[1.996]
1.25
(24)
[-0.692]
7.24
(71)
[-0.506]
8.22
(75)
[-0.464]
27.55
(121)
[0.212]
95.08
(157)
[2.069]
63.30
(118)
[-0.255]
65.66
(135)
[-0.557]
96.20
(3)
[0.840]
34.34
(135)
[0.557]
0.60
(3)
[-0.402]
74.19
(112)
[-0.061]
63.73
(113)
[-0.097]
5.27
(110)
[-0.187]
77.29
(108)
[0.040]
7.57
(10)
[-0.578]
6.02
(21)
[-0.430]
44.81
(133)
[0.635]
43.26
(139)
[0.770]
65.66
(135)
[-0.557]
56.32
(138)
[-0.757]
63.34
(125)
[-0.368]
19.40
(128)
[0.133]
75.45
(107)
[0.020]
8.76
(131)
[-0.046]
18.00
(96)
[-0.264]
75.24
(101)
[0.163]
10.93
(104)
[-0.196]
60.46
(119)
[-0.315]
51.10
(132)
[-0.616]
66.22
(131)
[-0.414]
69.21
(130)
[-0.323]
91.55
(3)
[0.904]
53.39
(155)
[-1.357]
8.10
(116)
[-0.092]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 129.  th's texture2015   [large] 0 0 0 0  73.01 
 (100.08) 
 [-0.145] 
48.75
(108)
[-0.315]
68.86
(163)
[2.443]
1.34
(25)
[-0.688]
11.72
(90)
[-0.295]
16.79
(120)
[-0.061]
29.46
(123)
[0.302]
100.00
(164)
[2.232]
65.91
(111)
[-0.114]
67.70
(129)
[-0.441]
96.55
(2)
[0.859]
32.30
(129)
[0.441]
0.74
(5)
[-0.392]
74.79
(111)
[-0.028]
66.01
(106)
[-0.006]
1.23
(1)
[-0.461]
77.92
(104)
[0.076]
10.01
(40)
[-0.416]
8.78
(97)
[-0.247]
42.02
(130)
[0.476]
40.79
(137)
[0.628]
67.70
(129)
[-0.441]
58.51
(136)
[-0.631]
66.22
(115)
[-0.204]
19.50
(129)
[0.140]
74.70
(112)
[-0.023]
11.18
(148)
[0.123]
12.62
(15)
[-0.634]
71.74
(117)
[-0.050]
9.76
(97)
[-0.269]
65.04
(109)
[-0.081]
57.20
(114)
[-0.267]
69.58
(116)
[-0.217]
72.52
(112)
[-0.120]
92.68
(2)
[0.965]
59.85
(146)
[-0.980]
7.88
(111)
[-0.107]
 130.  yuanj's FSEG woMg  [large] 0 0 0 1  73.45 
 (119.08) 
 [-0.159] 
44.25
(121)
[-0.511]
28.18
(138)
[0.443]
5.16
(50)
[-0.498]
24.12
(132)
[0.288]
25.12
(133)
[0.331]
25.54
(117)
[0.117]
50.70
(131)
[0.604]
64.11
(114)
[-0.211]
70.44
(120)
[-0.283]
86.78
(99)
[0.312]
29.56
(120)
[0.283]
3.00
(96)
[-0.241]
74.04
(113)
[-0.069]
63.10
(116)
[-0.122]
5.83
(115)
[-0.149]
76.15
(114)
[-0.025]
17.47
(138)
[0.079]
12.58
(139)
[0.006]
40.79
(125)
[0.406]
35.90
(120)
[0.346]
70.44
(120)
[-0.283]
61.83
(126)
[-0.440]
65.16
(117)
[-0.264]
19.62
(130)
[0.148]
73.06
(117)
[-0.120]
8.76
(130)
[-0.046]
22.25
(123)
[0.029]
71.02
(120)
[-0.094]
12.38
(113)
[-0.106]
61.65
(114)
[-0.254]
55.07
(123)
[-0.389]
68.64
(122)
[-0.272]
70.06
(125)
[-0.271]
77.14
(106)
[0.111]
66.09
(141)
[-0.617]
7.79
(109)
[-0.113]
 131.  yuanj's FSEG woMg  [large] 0 0 0 1  73.41 
 (119.92) 
 [-0.161] 
44.11
(122)
[-0.517]
28.18
(138)
[0.443]
5.16
(50)
[-0.498]
24.29
(133)
[0.295]
25.27
(135)
[0.338]
25.52
(116)
[0.117]
50.72
(132)
[0.605]
64.03
(115)
[-0.215]
70.40
(121)
[-0.286]
86.69
(100)
[0.307]
29.60
(121)
[0.286]
3.01
(97)
[-0.241]
73.97
(114)
[-0.073]
63.04
(117)
[-0.124]
5.86
(116)
[-0.147]
76.08
(115)
[-0.029]
17.47
(137)
[0.079]
12.58
(138)
[0.006]
40.85
(126)
[0.409]
35.96
(121)
[0.349]
70.40
(121)
[-0.286]
61.80
(128)
[-0.442]
65.10
(118)
[-0.267]
19.64
(131)
[0.149]
72.93
(119)
[-0.128]
8.77
(132)
[-0.045]
22.26
(124)
[0.030]
71.01
(121)
[-0.095]
12.39
(114)
[-0.106]
61.63
(115)
[-0.255]
55.05
(124)
[-0.390]
68.63
(123)
[-0.273]
70.04
(126)
[-0.272]
77.10
(107)
[0.109]
66.10
(140)
[-0.616]
7.80
(110)
[-0.113]
 132.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (120.81) 
 [-0.338] 
37.42
(134)
[-0.809]
59.53
(158)
[1.984]
8.86
(89)
[-0.314]
12.54
(103)
[-0.256]
13.14
(108)
[-0.233]
34.32
(133)
[0.530]
100.00
(164)
[2.232]
59.46
(124)
[-0.463]
64.81
(136)
[-0.606]
91.79
(45)
[0.593]
35.19
(136)
[0.606]
3.39
(106)
[-0.215]
69.60
(120)
[-0.314]
58.89
(123)
[-0.289]
4.88
(94)
[-0.213]
73.15
(119)
[-0.195]
12.13
(97)
[-0.276]
6.70
(29)
[-0.385]
47.22
(138)
[0.773]
41.79
(138)
[0.685]
64.81
(136)
[-0.606]
54.85
(142)
[-0.841]
61.34
(132)
[-0.481]
19.76
(132)
[0.157]
72.15
(120)
[-0.174]
9.84
(139)
[0.030]
18.31
(98)
[-0.242]
69.70
(124)
[-0.175]
15.43
(126)
[0.083]
55.99
(132)
[-0.542]
49.12
(135)
[-0.730]
64.44
(134)
[-0.519]
67.22
(134)
[-0.445]
78.72
(103)
[0.198]
61.85
(145)
[-0.864]
8.65
(123)
[-0.054]
 133.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (126.81) 
 [-0.416] 
31.93
(138)
[-1.048]
53.27
(154)
[1.676]
11.24
(107)
[-0.195]
14.97
(121)
[-0.142]
16.91
(123)
[-0.055]
33.61
(131)
[0.497]
100.00
(164)
[2.232]
57.91
(131)
[-0.547]
63.51
(139)
[-0.681]
89.26
(73)
[0.451]
36.49
(139)
[0.681]
3.14
(102)
[-0.233]
68.41
(125)
[-0.380]
57.42
(129)
[-0.348]
4.86
(93)
[-0.215]
71.80
(120)
[-0.272]
16.04
(131)
[-0.016]
7.31
(50)
[-0.344]
48.88
(139)
[0.868]
40.15
(135)
[0.591]
63.51
(139)
[-0.681]
53.52
(144)
[-0.917]
59.43
(134)
[-0.590]
20.63
(133)
[0.215]
70.55
(121)
[-0.268]
10.20
(144)
[0.055]
19.02
(106)
[-0.193]
69.24
(127)
[-0.203]
15.27
(125)
[0.073]
53.30
(136)
[-0.679]
46.11
(139)
[-0.902]
61.88
(139)
[-0.670]
64.08
(138)
[-0.638]
75.46
(114)
[0.019]
57.53
(148)
[-1.116]
9.46
(134)
[0.001]
 134.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (136.03) 
 [-0.540] 
28.78
(144)
[-1.185]
19.69
(133)
[0.025]
39.15
(150)
[1.194]
20.42
(128)
[0.114]
21.54
(128)
[0.162]
44.35
(144)
[1.001]
82.87
(146)
[1.666]
51.10
(142)
[-0.915]
64.12
(138)
[-0.646]
72.73
(134)
[-0.475]
35.88
(138)
[0.646]
7.59
(142)
[0.064]
59.88
(140)
[-0.851]
49.03
(142)
[-0.681]
8.38
(135)
[0.023]
63.11
(140)
[-0.765]
16.64
(132)
[0.024]
8.97
(104)
[-0.234]
46.67
(137)
[0.742]
39.00
(132)
[0.525]
64.12
(138)
[-0.646]
58.75
(134)
[-0.617]
56.28
(139)
[-0.769]
21.29
(134)
[0.259]
62.16
(139)
[-0.763]
8.58
(129)
[-0.059]
21.24
(116)
[-0.040]
66.50
(132)
[-0.370]
19.72
(142)
[0.349]
49.98
(142)
[-0.848]
46.39
(138)
[-0.886]
62.19
(138)
[-0.652]
64.19
(137)
[-0.632]
55.71
(144)
[-1.067]
76.97
(114)
[0.018]
13.05
(152)
[0.247]
 135.  th's texture2015   [large] 0 0 0 0  70.04 
 (127.83) 
 [-0.333] 
39.68
(130)
[-0.710]
10.85
(62)
[-0.409]
18.42
(133)
[0.162]
31.65
(147)
[0.641]
33.24
(147)
[0.713]
26.23
(118)
[0.150]
76.86
(144)
[1.468]
58.85
(127)
[-0.496]
69.54
(124)
[-0.335]
75.77
(127)
[-0.304]
30.46
(124)
[0.335]
5.36
(127)
[-0.084]
68.35
(126)
[-0.383]
58.22
(124)
[-0.316]
6.07
(118)
[-0.133]
70.22
(126)
[-0.362]
23.60
(151)
[0.486]
17.96
(152)
[0.363]
41.75
(128)
[0.460]
36.11
(123)
[0.358]
69.54
(124)
[-0.335]
62.20
(124)
[-0.419]
62.25
(129)
[-0.430]
21.69
(135)
[0.286]
69.41
(125)
[-0.335]
9.97
(141)
[0.039]
25.03
(136)
[0.220]
64.39
(137)
[-0.499]
13.80
(121)
[-0.019]
59.55
(123)
[-0.361]
53.53
(127)
[-0.478]
68.11
(126)
[-0.303]
68.94
(131)
[-0.339]
65.98
(131)
[-0.502]
73.61
(128)
[-0.178]
7.57
(106)
[-0.128]
 136.  th's texture2015   [large] 0 0 0 0  69.52 
 (128.83) 
 [-0.353] 
38.75
(131)
[-0.751]
12.47
(74)
[-0.329]
18.55
(134)
[0.169]
32.06
(148)
[0.660]
33.48
(149)
[0.724]
26.65
(119)
[0.170]
89.53
(151)
[1.886]
58.85
(126)
[-0.496]
69.16
(125)
[-0.356]
75.70
(128)
[-0.308]
30.84
(125)
[0.356]
5.17
(125)
[-0.097]
68.47
(124)
[-0.377]
58.05
(126)
[-0.323]
5.69
(114)
[-0.159]
70.21
(127)
[-0.362]
23.26
(150)
[0.463]
17.72
(151)
[0.347]
42.18
(131)
[0.485]
36.64
(124)
[0.389]
69.16
(125)
[-0.356]
61.57
(130)
[-0.455]
62.14
(130)
[-0.436]
21.76
(136)
[0.290]
69.46
(124)
[-0.332]
10.06
(142)
[0.045]
24.48
(132)
[0.183]
64.50
(136)
[-0.492]
13.65
(119)
[-0.028]
59.47
(124)
[-0.365]
53.13
(129)
[-0.500]
67.89
(129)
[-0.316]
68.73
(132)
[-0.352]
66.65
(130)
[-0.466]
72.54
(131)
[-0.240]
7.58
(107)
[-0.128]
 137.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (132.69) 
 [-0.455] 
30.92
(139)
[-1.091]
4.12
(29)
[-0.740]
26.67
(141)
[0.573]
37.40
(152)
[0.911]
35.72
(152)
[0.830]
41.32
(140)
[0.859]
28.70
(104)
[-0.122]
53.55
(138)
[-0.783]
67.49
(131)
[-0.453]
63.39
(148)
[-0.997]
32.51
(131)
[0.453]
6.60
(133)
[-0.002]
62.69
(138)
[-0.696]
51.23
(137)
[-0.593]
9.34
(143)
[0.089]
64.00
(139)
[-0.715]
20.29
(142)
[0.266]
14.82
(147)
[0.155]
43.88
(132)
[0.582]
38.42
(129)
[0.491]
67.49
(131)
[-0.453]
61.93
(125)
[-0.435]
58.22
(136)
[-0.658]
22.27
(137)
[0.324]
60.97
(142)
[-0.833]
8.50
(128)
[-0.064]
28.31
(143)
[0.446]
65.70
(133)
[-0.419]
16.83
(131)
[0.170]
54.93
(133)
[-0.596]
50.40
(133)
[-0.656]
65.57
(133)
[-0.453]
66.85
(135)
[-0.468]
59.53
(141)
[-0.857]
76.91
(115)
[0.014]
9.89
(136)
[0.031]
 138.  test's HGS  [normal] 0 0 0 0  65.01 
 (138.14) 
 [-0.638] 
29.81
(142)
[-1.140]
10.69
(61)
[-0.417]
33.76
(148)
[0.926]
26.89
(137)
[0.418]
25.04
(132)
[0.327]
48.94
(148)
[1.217]
32.39
(108)
[-0.001]
49.60
(143)
[-0.997]
63.37
(140)
[-0.689]
66.09
(144)
[-0.847]
36.63
(140)
[0.689]
13.51
(155)
[0.458]
58.74
(144)
[-0.913]
46.63
(143)
[-0.776]
13.31
(155)
[0.358]
61.17
(145)
[-0.876]
16.75
(133)
[0.031]
10.46
(124)
[-0.135]
49.80
(140)
[0.920]
43.51
(140)
[0.784]
63.37
(140)
[-0.689]
57.52
(137)
[-0.688]
53.33
(142)
[-0.937]
22.90
(138)
[0.366]
58.60
(144)
[-0.972]
9.46
(134)
[0.003]
30.28
(148)
[0.582]
57.28
(147)
[-0.932]
27.95
(154)
[0.858]
41.52
(144)
[-1.279]
43.98
(141)
[-1.024]
58.92
(141)
[-0.844]
62.21
(141)
[-0.754]
50.58
(151)
[-1.349]
81.27
(103)
[0.269]
11.42
(146)
[0.136]
 139.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  62.41 
 (129.94) 
 [-0.785] 
32.80
(136)
[-1.010]
5.09
(33)
[-0.692]
60.88
(162)
[2.276]
6.72
(66)
[-0.530]
5.49
(38)
[-0.592]
64.15
(160)
[1.932]
33.75
(109)
[0.044]
42.86
(152)
[-1.361]
58.83
(145)
[-0.949]
48.32
(162)
[-1.842]
41.17
(145)
[0.949]
14.68
(158)
[0.537]
49.78
(154)
[-1.408]
38.56
(150)
[-1.097]
15.41
(160)
[0.501]
51.48
(155)
[-1.426]
9.82
(36)
[-0.429]
7.30
(49)
[-0.345]
51.92
(144)
[1.042]
49.40
(148)
[1.124]
58.83
(145)
[-0.949]
56.03
(139)
[-0.773]
49.51
(145)
[-1.154]
23.30
(139)
[0.393]
51.68
(155)
[-1.380]
9.69
(135)
[0.019]
31.52
(150)
[0.668]
52.06
(153)
[-1.250]
34.55
(158)
[1.267]
39.53
(149)
[-1.381]
43.02
(144)
[-1.079]
57.23
(143)
[-0.943]
62.28
(140)
[-0.749]
46.38
(155)
[-1.581]
90.63
(5)
[0.814]
18.06
(161)
[0.591]
 140.  test's JSEG   [normal] 0 0 0 0  65.97 
 (132.67) 
 [-0.538] 
27.47
(146)
[-1.242]
38.62
(147)
[0.956]
5.04
(47)
[-0.504]
35.00
(151)
[0.799]
35.50
(151)
[0.819]
37.94
(136)
[0.700]
92.77
(153)
[1.993]
55.29
(135)
[-0.689]
61.81
(141)
[-0.778]
87.70
(85)
[0.364]
38.19
(141)
[0.778]
3.66
(110)
[-0.198]
66.74
(130)
[-0.472]
55.14
(134)
[-0.438]
4.96
(99)
[-0.209]
70.27
(125)
[-0.359]
18.45
(140)
[0.144]
11.64
(131)
[-0.057]
50.79
(141)
[0.977]
43.98
(141)
[0.811]
61.81
(141)
[-0.778]
51.94
(145)
[-1.008]
56.24
(140)
[-0.771]
23.38
(140)
[0.398]
66.85
(133)
[-0.486]
10.68
(145)
[0.088]
21.23
(115)
[-0.041]
67.54
(131)
[-0.306]
15.19
(123)
[0.068]
50.96
(141)
[-0.798]
44.46
(140)
[-0.997]
59.81
(140)
[-0.792]
61.42
(145)
[-0.802]
72.27
(125)
[-0.157]
54.02
(153)
[-1.320]
9.82
(135)
[0.026]
 141.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  61.71 
 (131.00) 
 [-0.824] 
32.17
(137)
[-1.037]
4.24
(30)
[-0.734]
61.50
(163)
[2.306]
6.72
(66)
[-0.530]
5.45
(34)
[-0.594]
66.44
(162)
[2.040]
34.48
(111)
[0.068]
41.87
(153)
[-1.415]
58.02
(148)
[-0.995]
46.74
(163)
[-1.930]
41.98
(148)
[0.995]
15.04
(159)
[0.561]
48.64
(156)
[-1.471]
37.36
(153)
[-1.144]
15.91
(162)
[0.534]
50.33
(158)
[-1.491]
9.26
(27)
[-0.466]
7.10
(42)
[-0.358]
52.64
(145)
[1.083]
50.48
(151)
[1.186]
58.02
(148)
[-0.995]
55.45
(140)
[-0.807]
48.62
(150)
[-1.204]
23.62
(141)
[0.414]
50.29
(159)
[-1.462]
9.81
(137)
[0.027]
31.97
(151)
[0.699]
50.01
(157)
[-1.375]
35.73
(159)
[1.340]
38.31
(151)
[-1.443]
42.03
(146)
[-1.136]
56.48
(145)
[-0.988]
61.70
(142)
[-0.785]
45.25
(157)
[-1.643]
91.11
(3)
[0.842]
18.39
(162)
[0.613]
 142.  xiaofang's weighted_color_patch noise  [normal] 0 0 0 0  66.73 
 (135.81) 
 [-0.535] 
26.88
(148)
[-1.267]
10.33
(56)
[-0.435]
14.95
(128)
[-0.010]
45.18
(153)
[1.277]
43.88
(153)
[1.214]
40.32
(138)
[0.812]
34.05
(110)
[0.054]
52.69
(140)
[-0.829]
65.91
(134)
[-0.543]
65.65
(145)
[-0.871]
34.09
(134)
[0.543]
5.91
(130)
[-0.048]
62.86
(137)
[-0.686]
49.16
(141)
[-0.675]
8.86
(139)
[0.056]
64.27
(138)
[-0.700]
24.53
(153)
[0.548]
17.48
(150)
[0.331]
45.79
(136)
[0.691]
38.73
(131)
[0.509]
65.91
(134)
[-0.543]
59.48
(132)
[-0.575]
56.86
(138)
[-0.736]
23.82
(142)
[0.427]
61.58
(140)
[-0.797]
9.04
(133)
[-0.026]
30.05
(147)
[0.566]
65.03
(135)
[-0.460]
16.30
(130)
[0.137]
53.50
(135)
[-0.669]
47.74
(136)
[-0.809]
63.74
(136)
[-0.561]
64.59
(136)
[-0.607]
60.70
(139)
[-0.793]
70.23
(137)
[-0.375]
11.14
(145)
[0.116]
 143.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  62.31 
 (137.11) 
 [-0.786] 
30.05
(141)
[-1.129]
6.00
(36)
[-0.647]
53.97
(159)
[1.932]
13.30
(111)
[-0.221]
11.52
(90)
[-0.309]
61.35
(158)
[1.801]
38.83
(118)
[0.212]
43.45
(151)
[-1.330]
58.78
(146)
[-0.952]
51.17
(160)
[-1.682]
41.22
(146)
[0.952]
13.90
(157)
[0.485]
50.98
(152)
[-1.342]
39.02
(148)
[-1.078]
14.56
(157)
[0.443]
52.78
(153)
[-1.352]
13.31
(108)
[-0.197]
8.96
(103)
[-0.235]
51.85
(143)
[1.037]
47.50
(145)
[1.014]
58.78
(146)
[-0.952]
55.25
(141)
[-0.818]
49.83
(144)
[-1.136]
23.84
(143)
[0.428]
53.55
(151)
[-1.270]
9.82
(138)
[0.028]
31.31
(149)
[0.653]
54.04
(148)
[-1.130]
32.28
(157)
[1.126]
40.09
(147)
[-1.352]
42.86
(145)
[-1.089]
57.19
(144)
[-0.946]
61.66
(144)
[-0.787]
47.71
(153)
[-1.507]
86.47
(44)
[0.571]
17.11
(160)
[0.525]
 144.  felipecalderero's GSRM unsup. BHAT area-unweighted  [normal] 0 0 0 0  62.03 
 (136.33) 
 [-0.779] 
25.77
(149)
[-1.316]
17.91
(121)
[-0.062]
50.06
(155)
[1.737]
9.64
(83)
[-0.393]
9.47
(82)
[-0.405]
56.13
(152)
[1.555]
64.91
(140)
[1.073]
43.56
(150)
[-1.324]
56.00
(152)
[-1.111]
65.32
(146)
[-0.889]
44.00
(152)
[1.111]
13.60
(156)
[0.465]
51.43
(150)
[-1.317]
39.01
(149)
[-1.079]
11.78
(153)
[0.254]
54.84
(150)
[-1.235]
10.32
(45)
[-0.396]
5.40
(10)
[-0.471]
54.43
(149)
[1.185]
49.51
(150)
[1.130]
56.00
(152)
[-1.111]
51.19
(147)
[-1.051]
49.00
(146)
[-1.182]
23.84
(144)
[0.429]
55.78
(149)
[-1.138]
10.18
(143)
[0.053]
24.14
(130)
[0.159]
57.31
(146)
[-0.930]
32.09
(156)
[1.115]
37.96
(152)
[-1.461]
40.71
(147)
[-1.212]
55.20
(147)
[-1.063]
60.25
(147)
[-0.874]
53.38
(149)
[-1.195]
79.37
(111)
[0.158]
11.77
(148)
[0.160]
f1 f2 f3 f4 AVG
RANK
NORM
CS
55.99
±22.97
OS
19.17
±20.34
US
15.16
±20.09
ME
18.00
±21.28
NE
18.09
±21.26
O
23.04
±21.28
C
32.41
±30.29
CA
68.01
±18.47
CO
75.38
±17.44
CC
81.20
±17.86
I
24.62
±17.44
II
6.63
±15.01
EA
75.29
±18.12
MS
66.17
±25.17
RM
8.03
±14.74
CI
76.59
±17.61
GCE
16.28
±15.06
LCE
12.49
±15.05
BCE
33.69
±17.50
GBCE
29.90
±17.35
BGM
75.38
±17.44
SC
69.50
±17.41
SSC
69.81
±17.60
criterion 'VD' (Van Dongen metric) in ascending orderVD
17.39
±15.06
L
75.10
±16.97
AVI
9.42
±14.34
NVI
21.83
±14.52
NMI
72.57
±16.41
M
14.10
±16.14
ARI
66.63
±19.63
JC
61.86
±17.45
DC
73.26
±16.99
FMI
74.46
±16.26
WI
75.12
±18.19
WII
76.66
±17.15
NBDE
9.44
±14.60
 145.  test's SWA def_par  [normal] 0 1 0 0  66.59 
 (129.78) 
 [-0.511] 
27.06
(147)
[-1.260]
50.21
(150)
[1.526]
4.53
(42)
[-0.529]
25.76
(134)
[0.365]
27.50
(139)
[0.443]
33.01
(129)
[0.469]
85.19
(148)
[1.743]
54.84
(136)
[-0.713]
60.67
(142)
[-0.843]
88.17
(82)
[0.390]
39.33
(142)
[0.843]
2.11
(66)
[-0.301]
66.94
(127)
[-0.461]
53.71
(135)
[-0.495]
6.11
(119)
[-0.130]
70.32
(124)
[-0.356]
17.27
(136)
[0.066]
11.50
(130)
[-0.066]
50.96
(142)
[0.987]
45.18
(143)
[0.881]
60.67
(142)
[-0.843]
51.56
(146)
[-1.030]
55.84
(141)
[-0.794]
24.20
(145)
[0.452]
69.05
(127)
[-0.356]
9.75
(136)
[0.023]
21.56
(118)
[-0.019]
70.86
(122)
[-0.104]
13.68
(120)
[-0.026]
51.67
(138)
[-0.762]
43.43
(143)
[-1.056]
58.77
(142)
[-0.853]
61.69
(143)
[-0.786]
79.03
(101)
[0.215]
51.05
(158)
[-1.493]
10.34
(137)
[0.062]
 146.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  67.57 
 (133.06) 
 [-0.499] 
29.64
(143)
[-1.147]
10.44
(58)
[-0.429]
8.70
(87)
[-0.321]
49.94
(154)
[1.501]
49.25
(154)
[1.466]
30.12
(125)
[0.333]
26.98
(103)
[-0.179]
55.82
(134)
[-0.660]
67.46
(132)
[-0.454]
72.37
(135)
[-0.494]
32.54
(132)
[0.454]
5.94
(131)
[-0.046]
66.88
(128)
[-0.464]
51.19
(138)
[-0.595]
7.52
(130)
[-0.035]
68.33
(131)
[-0.469]
29.60
(154)
[0.884]
21.46
(154)
[0.596]
45.22
(135)
[0.659]
37.07
(127)
[0.413]
67.46
(132)
[-0.454]
58.70
(135)
[-0.620]
58.21
(137)
[-0.659]
24.99
(146)
[0.504]
66.65
(135)
[-0.498]
9.96
(140)
[0.038]
33.25
(153)
[0.787]
63.36
(139)
[-0.562]
15.60
(127)
[0.093]
53.12
(137)
[-0.688]
47.44
(137)
[-0.826]
62.83
(137)
[-0.614]
63.35
(139)
[-0.683]
61.81
(136)
[-0.732]
65.99
(142)
[-0.622]
9.41
(133)
[-0.002]
 147.  felipecalderero's GSRM unsup. KL area-unweighted  [normal] 0 0 0 0  59.23 
 (141.64) 
 [-0.947] 
18.26
(154)
[-1.643]
14.61
(87)
[-0.224]
51.60
(157)
[1.814]
12.91
(108)
[-0.239]
13.92
(113)
[-0.196]
61.07
(157)
[1.787]
45.19
(127)
[0.422]
39.43
(154)
[-1.547]
52.75
(154)
[-1.297]
58.72
(155)
[-1.259]
47.25
(154)
[1.297]
15.42
(160)
[0.586]
47.32
(158)
[-1.544]
33.11
(155)
[-1.313]
15.61
(161)
[0.514]
50.79
(156)
[-1.465]
11.19
(76)
[-0.338]
5.77
(15)
[-0.447]
57.97
(154)
[1.387]
52.55
(153)
[1.306]
52.75
(154)
[-1.297]
47.90
(151)
[-1.241]
45.62
(154)
[-1.375]
25.50
(147)
[0.538]
54.42
(150)
[-1.219]
10.87
(146)
[0.102]
29.64
(145)
[0.538]
53.51
(149)
[-1.162]
37.41
(161)
[1.444]
31.20
(158)
[-1.805]
35.87
(154)
[-1.489]
50.66
(154)
[-1.330]
56.15
(149)
[-1.126]
45.21
(158)
[-1.645]
80.72
(105)
[0.236]
13.75
(156)
[0.295]
 148.  felipecalderero's GSRM MARKOV unsup. BHAT area-unweighted  [normal] 0 0 0 0  58.00 
 (141.86) 
 [-1.014] 
19.40
(152)
[-1.593]
8.96
(48)
[-0.502]
58.24
(161)
[2.144]
14.89
(120)
[-0.146]
13.72
(111)
[-0.205]
66.84
(163)
[2.058]
45.37
(128)
[0.428]
36.85
(158)
[-1.687]
51.99
(156)
[-1.341]
57.98
(156)
[-1.301]
48.01
(156)
[1.341]
17.42
(161)
[0.719]
44.18
(161)
[-1.717]
30.20
(158)
[-1.429]
14.90
(158)
[0.466]
47.83
(163)
[-1.633]
11.56
(85)
[-0.313]
6.66
(27)
[-0.388]
58.56
(155)
[1.421]
53.66
(154)
[1.370]
51.99
(156)
[-1.341]
48.39
(150)
[-1.212]
43.58
(155)
[-1.490]
26.36
(148)
[0.596]
51.35
(158)
[-1.399]
10.97
(147)
[0.108]
27.32
(142)
[0.378]
50.34
(156)
[-1.355]
39.77
(162)
[1.591]
27.64
(162)
[-1.986]
34.86
(155)
[-1.547]
49.39
(155)
[-1.405]
55.05
(150)
[-1.194]
39.24
(162)
[-1.973]
84.65
(63)
[0.466]
13.72
(155)
[0.293]
 149.  test's HGS  [normal] 0 0 0 0  60.24 
 (144.83) 
 [-0.910] 
27.57
(145)
[-1.237]
8.63
(45)
[-0.518]
45.82
(154)
[1.526]
27.22
(138)
[0.433]
26.54
(136)
[0.398]
53.84
(150)
[1.448]
35.44
(113)
[0.100]
43.74
(149)
[-1.314]
58.05
(147)
[-0.994]
56.48
(157)
[-1.385]
41.95
(147)
[0.994]
19.99
(163)
[0.891]
51.11
(151)
[-1.335]
37.41
(152)
[-1.143]
19.29
(163)
[0.764]
53.33
(152)
[-1.321]
17.20
(135)
[0.061]
13.62
(143)
[0.075]
53.08
(146)
[1.108]
49.49
(149)
[1.129]
58.05
(147)
[-0.994]
54.07
(143)
[-0.886]
48.87
(147)
[-1.190]
27.12
(149)
[0.646]
53.36
(152)
[-1.281]
14.08
(157)
[0.325]
34.51
(154)
[0.873]
51.59
(154)
[-1.279]
35.99
(160)
[1.356]
36.13
(153)
[-1.553]
40.54
(148)
[-1.221]
54.16
(149)
[-1.124]
58.24
(148)
[-0.998]
44.09
(160)
[-1.706]
82.17
(99)
[0.321]
16.69
(159)
[0.496]
 150.  felipecalderero's GSRM MARKOV unsup. KL area-unweighted  [normal] 0 0 0 0  56.82 
 (147.86) 
 [-1.080] 
16.79
(156)
[-1.707]
5.50
(34)
[-0.672]
50.36
(156)
[1.752]
27.57
(139)
[0.449]
27.67
(141)
[0.451]
58.99
(154)
[1.690]
43.96
(125)
[0.381]
35.43
(160)
[-1.764]
51.13
(158)
[-1.391]
61.73
(152)
[-1.090]
48.87
(158)
[1.391]
18.40
(162)
[0.785]
43.72
(162)
[-1.742]
28.22
(160)
[-1.507]
15.34
(159)
[0.496]
48.20
(161)
[-1.612]
15.99
(130)
[-0.019]
9.27
(113)
[-0.214]
60.39
(156)
[1.525]
53.66
(155)
[1.370]
51.13
(158)
[-1.391]
46.34
(154)
[-1.330]
41.78
(157)
[-1.593]
27.84
(150)
[0.694]
51.61
(156)
[-1.384]
11.55
(149)
[0.149]
28.80
(144)
[0.480]
47.60
(160)
[-1.522]
41.07
(163)
[1.671]
25.36
(163)
[-2.102]
33.70
(156)
[-1.614]
48.46
(156)
[-1.460]
53.43
(154)
[-1.293]
36.75
(163)
[-2.110]
82.20
(98)
[0.323]
12.73
(151)
[0.225]
 151.  th's texture2015   [large] 0 0 0 0  64.44 
 (123.14) 
 [-0.625] 
34.45
(135)
[-0.938]
57.31
(157)
[1.875]
0.00
(1)
[-0.754]
22.81
(130)
[0.226]
28.25
(144)
[0.478]
45.64
(146)
[1.062]
100.00
(164)
[2.232]
52.97
(139)
[-0.814]
54.10
(153)
[-1.220]
95.27
(5)
[0.788]
45.90
(153)
[1.220]
0.54
(2)
[-0.406]
62.67
(139)
[-0.697]
52.93
(136)
[-0.526]
1.59
(2)
[-0.437]
67.54
(133)
[-0.514]
14.05
(116)
[-0.148]
13.43
(142)
[0.062]
55.99
(150)
[1.274]
55.37
(157)
[1.468]
54.10
(153)
[-1.220]
44.57
(156)
[-1.432]
53.01
(143)
[-0.954]
27.88
(151)
[0.696]
63.05
(137)
[-0.710]
16.75
(161)
[0.512]
18.86
(105)
[-0.205]
62.82
(140)
[-0.595]
12.45
(115)
[-0.102]
51.42
(140)
[-0.775]
43.44
(142)
[-1.055]
56.03
(146)
[-1.014]
61.02
(146)
[-0.827]
91.32
(6)
[0.891]
44.99
(161)
[-1.846]
9.05
(127)
[-0.027]
 152.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (143.28) 
 [-0.913] 
21.01
(151)
[-1.523]
7.33
(39)
[-0.582]
9.30
(93)
[-0.292]
59.55
(156)
[1.952]
61.68
(156)
[2.051]
41.45
(141)
[0.865]
58.94
(135)
[0.876]
46.23
(145)
[-1.179]
56.04
(151)
[-1.109]
73.62
(132)
[-0.424]
43.96
(151)
[1.109]
6.72
(135)
[0.006]
58.37
(146)
[-0.934]
40.36
(145)
[-1.025]
7.96
(131)
[-0.005]
61.31
(143)
[-0.868]
31.16
(155)
[0.988]
23.19
(155)
[0.711]
56.72
(152)
[1.316]
48.75
(147)
[1.086]
56.04
(151)
[-1.109]
45.75
(155)
[-1.364]
48.66
(149)
[-1.202]
31.11
(152)
[0.911]
61.54
(141)
[-0.799]
12.33
(150)
[0.203]
32.70
(152)
[0.749]
57.36
(145)
[-0.927]
20.03
(145)
[0.367]
39.74
(148)
[-1.370]
36.22
(153)
[-1.469]
51.87
(153)
[-1.259]
52.90
(155)
[-1.326]
55.64
(145)
[-1.071]
52.32
(156)
[-1.419]
12.18
(149)
[0.187]
 153.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  58.34 
 (144.97) 
 [-0.979] 
15.62
(157)
[-1.758]
17.16
(110)
[-0.099]
5.18
(52)
[-0.497]
62.12
(157)
[2.073]
62.32
(157)
[2.081]
48.97
(149)
[1.219]
76.46
(143)
[1.454]
45.69
(147)
[-1.208]
57.08
(150)
[-1.049]
71.62
(136)
[-0.536]
42.92
(150)
[1.049]
7.20
(138)
[0.038]
58.72
(145)
[-0.914]
43.35
(144)
[-0.907]
7.34
(128)
[-0.047]
61.30
(144)
[-0.868]
34.39
(156)
[1.202]
27.36
(156)
[0.988]
57.95
(153)
[1.386]
50.92
(152)
[1.212]
57.08
(150)
[-1.049]
47.23
(152)
[-1.279]
47.53
(152)
[-1.266]
31.99
(153)
[0.969]
56.52
(148)
[-1.095]
13.74
(155)
[0.302]
34.88
(155)
[0.898]
52.13
(152)
[-1.246]
19.31
(140)
[0.323]
41.20
(146)
[-1.295]
37.73
(151)
[-1.383]
53.26
(151)
[-1.177]
54.40
(152)
[-1.234]
56.61
(143)
[-1.018]
54.58
(151)
[-1.287]
11.12
(144)
[0.115]
 154.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (140.33) 
 [-0.919] 
21.74
(150)
[-1.491]
8.14
(43)
[-0.542]
2.07
(29)
[-0.651]
67.75
(158)
[2.337]
65.81
(158)
[2.245]
40.75
(139)
[0.832]
40.94
(122)
[0.282]
47.30
(144)
[-1.121]
59.89
(143)
[-0.888]
67.76
(142)
[-0.753]
40.11
(143)
[0.888]
7.20
(139)
[0.038]
59.69
(141)
[-0.861]
39.86
(146)
[-1.045]
8.99
(141)
[0.065]
61.64
(141)
[-0.849]
39.70
(158)
[1.555]
30.66
(157)
[1.207]
54.15
(147)
[1.169]
45.11
(142)
[0.877]
59.89
(143)
[-0.888]
49.53
(148)
[-1.147]
48.70
(148)
[-1.200]
33.50
(154)
[1.069]
57.31
(146)
[-1.048]
12.57
(151)
[0.220]
42.33
(158)
[1.412]
53.02
(150)
[-1.192]
19.50
(141)
[0.335]
42.13
(143)
[-1.248]
39.76
(149)
[-1.266]
54.66
(148)
[-1.095]
54.92
(151)
[-1.202]
54.52
(147)
[-1.132]
55.84
(149)
[-1.214]
11.02
(143)
[0.108]
 155.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.23 
 (141.50) 
 [-0.958] 
18.64
(153)
[-1.626]
2.81
(25)
[-0.804]
4.51
(41)
[-0.530]
71.84
(160)
[2.530]
71.37
(160)
[2.507]
38.31
(137)
[0.718]
39.71
(120)
[0.241]
45.85
(146)
[-1.200]
59.51
(144)
[-0.910]
63.53
(147)
[-0.990]
40.49
(144)
[0.910]
8.23
(145)
[0.107]
58.37
(147)
[-0.934]
39.27
(147)
[-1.069]
8.37
(134)
[0.023]
59.87
(147)
[-0.950]
40.42
(160)
[1.603]
32.33
(158)
[1.318]
54.19
(148)
[1.171]
46.09
(144)
[0.933]
59.51
(144)
[-0.910]
48.75
(149)
[-1.192]
48.37
(151)
[-1.218]
33.56
(155)
[1.073]
58.25
(145)
[-0.993]
12.67
(152)
[0.227]
42.69
(159)
[1.437]
52.27
(151)
[-1.238]
19.73
(143)
[0.349]
41.41
(145)
[-1.285]
38.66
(150)
[-1.329]
54.08
(150)
[-1.129]
54.40
(153)
[-1.234]
53.79
(148)
[-1.173]
55.67
(150)
[-1.224]
10.72
(142)
[0.088]
 156.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (135.94) 
 [-1.099] 
17.54
(155)
[-1.674]
52.99
(152)
[1.663]
0.00
(1)
[-0.754]
30.29
(145)
[0.577]
34.59
(150)
[0.777]
64.37
(161)
[1.942]
100.00
(164)
[2.232]
38.26
(156)
[-1.611]
40.46
(162)
[-2.003]
92.77
(32)
[0.648]
59.54
(162)
[2.003]
1.28
(10)
[-0.357]
48.85
(155)
[-1.459]
37.89
(151)
[-1.123]
3.74
(52)
[-0.291]
55.96
(149)
[-1.172]
13.12
(107)
[-0.210]
11.91
(135)
[-0.039]
69.24
(162)
[2.031]
68.03
(163)
[2.198]
40.46
(162)
[-2.003]
31.85
(162)
[-2.162]
38.40
(160)
[-1.785]
34.18
(156)
[1.115]
51.81
(153)
[-1.372]
17.88
(162)
[0.591]
25.68
(140)
[0.266]
60.66
(143)
[-0.726]
16.10
(128)
[0.124]
35.27
(155)
[-1.598]
28.30
(162)
[-1.923]
41.55
(161)
[-1.867]
48.37
(157)
[-1.604]
85.00
(64)
[0.543]
30.21
(164)
[-2.708]
10.65
(141)
[0.083]
 157.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  40.84 
 (136.53) 
 [-1.971] 
1.29
(168)
[-2.382]
0.00
(1)
[-0.942]
97.97
(168)
[4.122]
0.60
(1)
[-0.818]
0.33
(1)
[-0.835]
100.00
(169)
[3.617]
66.61
(141)
[1.129]
11.15
(165)
[-3.078]
31.05
(165)
[-2.542]
11.72
(165)
[-3.891]
68.95
(165)
[2.542]
28.78
(164)
[1.476]
15.93
(165)
[-3.277]
-3.42
(165)
[-2.764]
30.31
(164)
[1.512]
18.34
(165)
[-3.307]
0.51
(1)
[-1.047]
0.37
(1)
[-0.805]
77.76
(165)
[2.518]
77.63
(165)
[2.751]
31.05
(165)
[-2.542]
30.90
(163)
[-2.217]
22.34
(165)
[-2.698]
34.62
(157)
[1.144]
28.52
(165)
[-2.745]
13.54
(154)
[0.288]
45.43
(161)
[1.625]
4.70
(167)
[-4.137]
76.50
(165)
[3.866]
1.65
(168)
[-3.310]
21.51
(165)
[-2.312]
34.87
(164)
[-2.260]
45.70
(162)
[-1.769]
21.54
(165)
[-2.946]
99.54
(1)
[1.334]
38.40
(164)
[1.984]
 158.  pavelm10's base