The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'LCE' (local consistency error) 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
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 1.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  40.84 
 (157.28) 
 [-2.043] 
1.29
(193)
[-2.386]
0.00
(1)
[-0.929]
97.97
(193)
[4.236]
0.60
(1)
[-0.884]
0.33
(1)
[-0.900]
100.00
(194)
[3.720]
66.61
(166)
[1.256]
11.15
(190)
[-3.161]
31.05
(190)
[-2.658]
11.72
(190)
[-4.072]
68.95
(190)
[2.658]
28.78
(189)
[1.574]
15.93
(190)
[-3.387]
-3.42
(190)
[-2.861]
30.31
(189)
[1.612]
18.34
(190)
[-3.430]
0.51
(1)
[-1.123]
0.37
(1)
[-0.843]
77.76
(190)
[2.604]
77.63
(190)
[2.875]
31.05
(190)
[-2.658]
30.90
(188)
[-2.309]
22.34
(190)
[-2.782]
34.62
(181)
[1.206]
28.52
(190)
[-2.854]
13.54
(178)
[0.329]
45.43
(185)
[1.679]
4.70
(192)
[-4.277]
76.50
(190)
[4.033]
1.65
(193)
[-3.356]
21.51
(190)
[-2.370]
34.87
(189)
[-2.341]
45.70
(187)
[-1.832]
21.54
(190)
[-2.972]
99.54
(1)
[1.391]
38.40
(189)
[2.135]
 2.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  70.45 
 (130.00) 
 [-0.351] 
45.75
(133)
[-0.410]
1.62
(21)
[-0.845]
57.00
(185)
[2.140]
1.67
(2)
[-0.833]
1.63
(2)
[-0.838]
44.01
(163)
[1.022]
25.44
(123)
[-0.171]
54.14
(156)
[-0.758]
66.91
(152)
[-0.508]
55.47
(184)
[-1.499]
33.09
(152)
[0.508]
11.28
(174)
[0.335]
58.78
(161)
[-0.935]
50.43
(158)
[-0.632]
13.38
(176)
[0.389]
59.89
(166)
[-0.977]
3.44
(2)
[-0.920]
2.81
(2)
[-0.673]
40.65
(143)
[0.405]
40.03
(153)
[0.625]
66.91
(152)
[-0.508]
65.75
(140)
[-0.222]
59.94
(152)
[-0.569]
17.41
(130)
[0.001]
59.35
(164)
[-0.960]
7.34
(129)
[-0.131]
24.04
(142)
[0.143]
60.03
(163)
[-0.792]
28.84
(176)
[0.952]
53.80
(153)
[-0.647]
55.13
(141)
[-0.382]
67.08
(148)
[-0.371]
71.30
(138)
[-0.193]
56.77
(161)
[-0.995]
96.84
(2)
[1.226]
14.48
(181)
[0.386]
 3.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (139.58) 
 [-1.285] 
12.68
(184)
[-1.880]
86.91
(190)
[3.591]
0.00
(1)
[-0.776]
2.48
(3)
[-0.795]
4.68
(17)
[-0.693]
73.17
(189)
[2.428]
100.00
(189)
[2.413]
31.19
(189)
[-2.041]
31.55
(189)
[-2.628]
98.09
(1)
[1.008]
68.45
(189)
[2.628]
0.24
(1)
[-0.446]
41.29
(188)
[-1.936]
31.13
(180)
[-1.431]
3.21
(49)
[-0.345]
50.29
(183)
[-1.544]
3.55
(3)
[-0.912]
3.44
(3)
[-0.629]
77.11
(189)
[2.565]
77.00
(189)
[2.838]
31.55
(189)
[-2.628]
23.11
(190)
[-2.775]
31.19
(189)
[-2.261]
35.37
(183)
[1.259]
44.44
(188)
[-1.876]
20.23
(189)
[0.827]
26.13
(156)
[0.293]
62.00
(161)
[-0.668]
16.84
(152)
[0.176]
28.00
(185)
[-1.987]
21.64
(189)
[-2.363]
32.51
(190)
[-2.485]
42.66
(188)
[-2.027]
95.06
(1)
[1.154]
21.85
(190)
[-3.368]
10.49
(159)
[0.094]
 4.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (27.64) 
 [0.729] 
75.14
(41)
[0.897]
12.13
(88)
[-0.298]
9.85
(109)
[-0.272]
4.38
(14)
[-0.704]
4.37
(11)
[-0.707]
4.51
(1)
[-0.881]
8.89
(45)
[-0.745]
83.45
(32)
[0.879]
88.12
(38)
[0.764]
90.73
(61)
[0.575]
11.88
(38)
[-0.764]
1.48
(16)
[-0.359]
88.07
(40)
[0.741]
83.92
(39)
[0.754]
3.75
(54)
[-0.307]
88.72
(41)
[0.725]
6.55
(6)
[-0.703]
3.90
(4)
[-0.596]
17.51
(27)
[-0.967]
14.86
(28)
[-0.881]
88.12
(38)
[0.764]
84.63
(29)
[0.908]
84.95
(29)
[0.903]
7.59
(17)
[-0.686]
87.58
(37)
[0.773]
3.25
(1)
[-0.436]
9.89
(2)
[-0.874]
88.52
(1)
[1.002]
4.76
(9)
[-0.605]
84.94
(13)
[0.972]
79.62
(14)
[1.067]
87.84
(14)
[0.899]
88.25
(13)
[0.894]
88.92
(14)
[0.810]
88.43
(19)
[0.711]
3.40
(12)
[-0.425]
 5.  felipecalderero's GSRM MARKOV unsup. BHAT area-weighted  [normal] 0 0 0 0  73.38 
 (129.44) 
 [-0.173] 
47.31
(127)
[-0.340]
24.59
(164)
[0.350]
29.10
(167)
[0.713]
3.31
(5)
[-0.755]
3.46
(4)
[-0.751]
31.65
(147)
[0.427]
36.53
(138)
[0.213]
59.88
(144)
[-0.438]
67.49
(149)
[-0.473]
76.27
(146)
[-0.276]
32.51
(149)
[0.473]
5.40
(147)
[-0.081]
66.84
(150)
[-0.474]
57.99
(147)
[-0.320]
9.47
(164)
[0.106]
69.10
(150)
[-0.433]
5.59
(4)
[-0.770]
3.95
(5)
[-0.593]
40.24
(140)
[0.381]
38.61
(149)
[0.540]
67.49
(149)
[-0.473]
63.16
(142)
[-0.377]
63.31
(145)
[-0.371]
17.84
(134)
[0.031]
70.00
(142)
[-0.306]
7.40
(132)
[-0.127]
19.68
(125)
[-0.171]
74.66
(124)
[0.129]
17.83
(157)
[0.240]
57.08
(148)
[-0.476]
52.66
(149)
[-0.528]
65.85
(150)
[-0.447]
69.80
(146)
[-0.288]
74.52
(130)
[0.001]
74.61
(142)
[-0.136]
9.07
(149)
[-0.010]
 6.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (27.42) 
 [0.726] 
79.34
(29)
[1.084]
13.67
(103)
[-0.218]
6.25
(63)
[-0.456]
3.80
(6)
[-0.732]
3.80
(5)
[-0.734]
6.48
(24)
[-0.786]
22.88
(118)
[-0.260]
84.17
(29)
[0.920]
87.97
(40)
[0.755]
94.15
(9)
[0.776]
12.03
(40)
[-0.755]
1.42
(13)
[-0.363]
88.97
(35)
[0.793]
85.23
(31)
[0.808]
3.12
(46)
[-0.352]
89.91
(32)
[0.795]
6.46
(5)
[-0.710]
4.75
(6)
[-0.537]
17.73
(29)
[-0.954]
16.02
(33)
[-0.811]
87.97
(40)
[0.755]
84.11
(31)
[0.877]
84.85
(30)
[0.897]
7.79
(23)
[-0.672]
88.53
(30)
[0.831]
3.93
(4)
[-0.385]
10.70
(5)
[-0.816]
86.81
(3)
[0.895]
4.88
(17)
[-0.598]
84.85
(14)
[0.967]
80.02
(9)
[1.090]
87.75
(16)
[0.893]
88.28
(11)
[0.895]
90.69
(9)
[0.909]
87.01
(40)
[0.623]
3.32
(9)
[-0.431]
 7.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (120.25) 
 [-0.020] 
54.70
(107)
[-0.012]
15.14
(119)
[-0.142]
23.71
(160)
[0.437]
5.49
(30)
[-0.651]
4.55
(13)
[-0.699]
24.79
(136)
[0.097]
31.43
(130)
[0.036]
63.98
(134)
[-0.209]
71.55
(136)
[-0.230]
75.39
(149)
[-0.328]
28.45
(136)
[0.230]
4.53
(139)
[-0.142]
69.79
(140)
[-0.305]
61.55
(134)
[-0.172]
8.77
(159)
[0.056]
71.46
(142)
[-0.294]
6.75
(7)
[-0.690]
4.81
(7)
[-0.533]
35.49
(125)
[0.099]
33.56
(136)
[0.238]
71.55
(136)
[-0.230]
67.70
(127)
[-0.105]
67.48
(128)
[-0.125]
16.16
(120)
[-0.086]
73.83
(133)
[-0.071]
6.79
(110)
[-0.173]
19.22
(123)
[-0.204]
74.98
(121)
[0.149]
17.61
(156)
[0.226]
61.29
(136)
[-0.257]
57.57
(131)
[-0.237]
69.20
(139)
[-0.242]
72.50
(130)
[-0.115]
73.38
(136)
[-0.063]
80.01
(118)
[0.195]
9.00
(146)
[-0.015]
 8.  felipecalderero's GSRM sup. BHAT area-unweighted  [normal] 0 0 1 0  64.36 
 (148.28) 
 [-0.681] 
30.14
(160)
[-1.104]
8.02
(47)
[-0.512]
51.23
(180)
[1.845]
14.96
(125)
[-0.202]
11.63
(94)
[-0.362]
54.00
(173)
[1.504]
47.43
(156)
[0.591]
47.27
(164)
[-1.142]
61.41
(162)
[-0.837]
59.94
(178)
[-1.236]
38.59
(162)
[0.837]
15.45
(182)
[0.631]
54.30
(169)
[-1.191]
42.12
(165)
[-0.976]
15.00
(180)
[0.506]
56.98
(170)
[-1.149]
11.26
(82)
[-0.376]
5.06
(8)
[-0.515]
49.09
(160)
[0.905]
42.90
(158)
[0.797]
61.41
(162)
[-0.837]
57.89
(157)
[-0.693]
52.84
(163)
[-0.987]
21.58
(153)
[0.294]
59.36
(163)
[-0.960]
8.53
(150)
[-0.043]
28.38
(163)
[0.454]
58.61
(164)
[-0.881]
32.08
(177)
[1.161]
40.00
(167)
[-1.364]
45.15
(159)
[-0.972]
58.44
(163)
[-0.899]
62.85
(160)
[-0.733]
47.02
(174)
[-1.543]
88.93
(14)
[0.741]
12.48
(174)
[0.239]
 9.  test's MW3AR8   [large] 0 0 0 0  77.52 
 (102.58) 
 [0.100] 
53.66
(115)
[-0.058]
51.40
(176)
[1.744]
14.21
(147)
[-0.049]
5.54
(31)
[-0.649]
6.33
(61)
[-0.614]
19.86
(124)
[-0.141]
84.27
(172)
[1.868]
70.15
(113)
[0.136]
75.41
(121)
[0.002]
89.36
(72)
[0.494]
24.59
(121)
[-0.002]
2.63
(94)
[-0.277]
77.82
(114)
[0.155]
70.24
(109)
[0.188]
3.77
(55)
[-0.305]
79.67
(111)
[0.191]
9.58
(32)
[-0.493]
5.07
(9)
[-0.515]
33.58
(113)
[-0.014]
29.07
(121)
[-0.031]
75.41
(121)
[0.002]
68.97
(115)
[-0.029]
71.85
(112)
[0.132]
14.15
(102)
[-0.227]
77.98
(110)
[0.184]
6.79
(111)
[-0.172]
12.76
(16)
[-0.668]
77.91
(104)
[0.334]
10.00
(110)
[-0.266]
69.95
(108)
[0.193]
63.41
(106)
[0.107]
75.67
(112)
[0.154]
77.17
(104)
[0.184]
84.21
(73)
[0.545]
73.49
(149)
[-0.205]
7.98
(129)
[-0.090]
 10.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (132.39) 
 [-0.472] 
38.00
(149)
[-0.754]
41.53
(173)
[1.231]
52.52
(182)
[1.911]
4.21
(12)
[-0.712]
5.46
(35)
[-0.655]
45.27
(166)
[1.083]
99.63
(188)
[2.400]
51.84
(160)
[-0.887]
64.66
(156)
[-0.643]
72.83
(153)
[-0.478]
35.34
(156)
[0.643]
9.89
(169)
[0.237]
58.77
(162)
[-0.935]
49.29
(159)
[-0.680]
2.88
(38)
[-0.369]
61.50
(161)
[-0.882]
10.61
(55)
[-0.421]
5.14
(10)
[-0.510]
45.13
(153)
[0.670]
39.65
(152)
[0.603]
64.66
(156)
[-0.643]
60.14
(150)
[-0.558]
58.32
(154)
[-0.664]
19.20
(145)
[0.127]
62.95
(157)
[-0.739]
8.48
(147)
[-0.047]
10.29
(3)
[-0.845]
65.13
(153)
[-0.471]
23.02
(169)
[0.575]
51.62
(158)
[-0.760]
49.93
(153)
[-0.689]
64.37
(154)
[-0.537]
67.76
(151)
[-0.419]
55.31
(165)
[-1.077]
88.07
(26)
[0.688]
8.26
(136)
[-0.069]
 11.  felipecalderero's GSRM MARKOV sup. BHAT area-unweighted  [normal] 0 0 1 0  65.36 
 (143.78) 
 [-0.637] 
28.66
(165)
[-1.170]
5.38
(34)
[-0.649]
56.22
(184)
[2.100]
9.41
(83)
[-0.465]
7.90
(74)
[-0.539]
48.30
(169)
[1.229]
30.54
(129)
[0.005]
46.74
(165)
[-1.172]
61.85
(160)
[-0.811]
66.02
(164)
[-0.879]
38.15
(160)
[0.811]
15.82
(184)
[0.657]
53.90
(170)
[-1.214]
42.78
(164)
[-0.949]
15.39
(182)
[0.534]
57.32
(169)
[-1.129]
10.00
(40)
[-0.463]
5.31
(11)
[-0.498]
48.97
(159)
[0.898]
44.27
(163)
[0.880]
61.85
(160)
[-0.811]
58.60
(155)
[-0.650]
52.64
(164)
[-0.999]
21.45
(152)
[0.284]
59.55
(162)
[-0.948]
8.51
(149)
[-0.044]
28.23
(161)
[0.444]
58.26
(165)
[-0.903]
32.80
(181)
[1.208]
39.80
(168)
[-1.374]
44.33
(161)
[-1.021]
58.53
(162)
[-0.894]
62.95
(159)
[-0.727]
46.63
(177)
[-1.564]
89.92
(7)
[0.802]
10.85
(164)
[0.120]
 12.  felipecalderero's GSRM unsup. BHAT area-unweighted  [normal] 0 0 0 0  62.03 
 (155.92) 
 [-0.803] 
25.77
(171)
[-1.298]
17.91
(148)
[0.002]
50.06
(178)
[1.785]
9.64
(85)
[-0.454]
9.47
(84)
[-0.465]
56.13
(176)
[1.606]
64.91
(165)
[1.197]
43.56
(173)
[-1.350]
56.00
(175)
[-1.162]
65.32
(166)
[-0.919]
44.00
(175)
[1.162]
13.60
(177)
[0.500]
51.43
(174)
[-1.355]
39.01
(171)
[-1.105]
11.78
(173)
[0.273]
54.84
(174)
[-1.275]
10.32
(46)
[-0.442]
5.40
(12)
[-0.492]
54.43
(171)
[1.221]
49.51
(173)
[1.193]
56.00
(175)
[-1.162]
51.19
(169)
[-1.094]
49.00
(168)
[-1.212]
23.84
(166)
[0.452]
55.78
(172)
[-1.180]
10.18
(165)
[0.079]
24.14
(143)
[0.150]
57.31
(168)
[-0.963]
32.09
(178)
[1.162]
37.96
(174)
[-1.470]
40.71
(169)
[-1.235]
55.20
(169)
[-1.098]
60.25
(169)
[-0.900]
53.38
(168)
[-1.185]
79.37
(123)
[0.155]
11.77
(170)
[0.187]
 13.  th's multi2015   [large] 0 0 0 0  72.26 
 (130.33) 
 [-0.248] 
47.02
(128)
[-0.353]
8.69
(55)
[-0.477]
43.30
(174)
[1.439]
6.62
(64)
[-0.598]
6.19
(58)
[-0.621]
36.33
(154)
[0.652]
25.04
(122)
[-0.185]
57.75
(152)
[-0.557]
69.74
(144)
[-0.338]
63.19
(172)
[-1.045]
30.26
(144)
[0.338]
10.00
(170)
[0.245]
63.86
(155)
[-0.644]
55.23
(152)
[-0.433]
11.81
(174)
[0.275]
65.07
(156)
[-0.671]
8.01
(12)
[-0.602]
5.57
(13)
[-0.479]
39.23
(139)
[0.320]
36.80
(145)
[0.432]
69.74
(144)
[-0.338]
66.59
(135)
[-0.172]
62.60
(146)
[-0.413]
17.25
(129)
[-0.009]
65.72
(155)
[-0.569]
7.30
(128)
[-0.134]
23.90
(141)
[0.133]
63.40
(158)
[-0.580]
24.78
(172)
[0.689]
56.54
(149)
[-0.504]
56.27
(136)
[-0.315]
68.71
(142)
[-0.272]
71.95
(136)
[-0.150]
61.64
(156)
[-0.722]
90.67
(4)
[0.848]
13.12
(178)
[0.286]
 14.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (42.89) 
 [0.614] 
72.27
(50)
[0.769]
18.33
(152)
[0.024]
9.41
(104)
[-0.295]
4.19
(11)
[-0.713]
3.92
(6)
[-0.729]
7.25
(31)
[-0.749]
6.44
(19)
[-0.830]
81.13
(43)
[0.749]
85.96
(49)
[0.634]
91.24
(51)
[0.605]
14.04
(49)
[-0.634]
1.59
(31)
[-0.350]
87.08
(48)
[0.684]
81.84
(48)
[0.668]
4.45
(80)
[-0.256]
87.81
(47)
[0.671]
8.33
(14)
[-0.579]
5.61
(14)
[-0.477]
21.00
(42)
[-0.760]
18.28
(47)
[-0.676]
85.96
(49)
[0.634]
81.30
(46)
[0.709]
82.16
(41)
[0.738]
9.06
(37)
[-0.583]
85.54
(48)
[0.648]
4.31
(22)
[-0.357]
13.22
(24)
[-0.635]
84.78
(17)
[0.767]
5.88
(36)
[-0.532]
81.62
(36)
[0.799]
75.30
(41)
[0.811]
85.25
(39)
[0.740]
85.71
(36)
[0.731]
88.20
(27)
[0.769]
84.18
(80)
[0.450]
3.98
(29)
[-0.383]
 15.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (35.06) 
 [0.668] 
77.73
(32)
[1.012]
15.92
(123)
[-0.101]
6.31
(67)
[-0.453]
3.93
(8)
[-0.725]
3.92
(7)
[-0.729]
7.68
(37)
[-0.728]
24.24
(120)
[-0.213]
82.80
(38)
[0.843]
86.89
(44)
[0.690]
93.65
(15)
[0.747]
13.11
(44)
[-0.690]
1.50
(18)
[-0.357]
88.03
(41)
[0.739]
83.98
(38)
[0.756]
3.27
(50)
[-0.341]
89.03
(38)
[0.743]
7.40
(8)
[-0.644]
5.62
(15)
[-0.476]
19.31
(32)
[-0.860]
17.53
(44)
[-0.721]
86.89
(44)
[0.690]
82.57
(36)
[0.785]
83.49
(36)
[0.817]
8.57
(30)
[-0.617]
87.67
(36)
[0.779]
4.39
(26)
[-0.351]
11.86
(8)
[-0.733]
85.28
(10)
[0.799]
5.30
(28)
[-0.570]
83.46
(27)
[0.895]
78.26
(27)
[0.986]
86.61
(30)
[0.823]
87.16
(27)
[0.823]
89.88
(10)
[0.863]
85.64
(55)
[0.540]
3.51
(13)
[-0.417]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 16.  felipecalderero's GSRM unsup. BHAT area-weighted  [normal] 0 0 0 0  75.50 
 (122.50) 
 [-0.058] 
47.60
(126)
[-0.328]
6.58
(41)
[-0.587]
27.13
(164)
[0.612]
18.67
(137)
[-0.025]
17.86
(134)
[-0.066]
34.05
(152)
[0.542]
14.93
(81)
[-0.536]
63.26
(138)
[-0.249]
73.21
(132)
[-0.130]
70.52
(157)
[-0.614]
26.79
(132)
[0.130]
6.19
(153)
[-0.025]
69.16
(143)
[-0.341]
60.87
(137)
[-0.200]
9.91
(167)
[0.138]
70.44
(144)
[-0.354]
8.88
(19)
[-0.541]
5.76
(16)
[-0.466]
34.89
(120)
[0.063]
31.77
(131)
[0.131]
73.21
(132)
[-0.130]
69.69
(112)
[0.013]
67.42
(130)
[-0.129]
15.83
(116)
[-0.109]
69.12
(146)
[-0.360]
6.26
(104)
[-0.212]
20.29
(127)
[-0.127]
72.91
(130)
[0.019]
17.44
(154)
[0.215]
61.60
(134)
[-0.241]
60.30
(119)
[-0.076]
72.31
(126)
[-0.051]
74.51
(118)
[0.014]
67.18
(148)
[-0.411]
86.93
(42)
[0.618]
9.05
(148)
[-0.011]
 17.  felipecalderero's GSRM unsup. KL area-unweighted  [normal] 0 0 0 0  59.23 
 (162.50) 
 [-0.978] 
18.26
(177)
[-1.632]
14.61
(112)
[-0.169]
51.60
(181)
[1.864]
12.91
(111)
[-0.299]
13.92
(118)
[-0.253]
61.07
(182)
[1.845]
45.19
(152)
[0.513]
39.43
(178)
[-1.580]
52.75
(178)
[-1.357]
58.72
(180)
[-1.308]
47.25
(178)
[1.357]
15.42
(181)
[0.629]
47.32
(182)
[-1.591]
33.11
(178)
[-1.349]
15.61
(184)
[0.550]
50.79
(180)
[-1.514]
11.19
(78)
[-0.381]
5.77
(17)
[-0.466]
57.97
(178)
[1.431]
52.55
(177)
[1.375]
52.75
(178)
[-1.357]
47.90
(175)
[-1.291]
45.62
(177)
[-1.412]
25.50
(169)
[0.568]
54.42
(173)
[-1.263]
10.87
(169)
[0.131]
29.64
(165)
[0.545]
53.51
(171)
[-1.203]
37.41
(185)
[1.505]
31.20
(182)
[-1.821]
35.87
(178)
[-1.521]
50.66
(178)
[-1.376]
56.15
(172)
[-1.163]
45.21
(182)
[-1.644]
80.72
(114)
[0.238]
13.75
(180)
[0.332]
 18.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (93.00) 
 [0.111] 
53.04
(117)
[-0.086]
59.53
(184)
[2.167]
3.20
(35)
[-0.612]
5.63
(35)
[-0.645]
6.96
(67)
[-0.584]
19.32
(121)
[-0.167]
86.19
(174)
[1.934]
71.89
(100)
[0.233]
74.66
(124)
[-0.043]
95.04
(6)
[0.828]
25.34
(124)
[0.043]
0.74
(4)
[-0.411]
80.43
(100)
[0.304]
71.78
(100)
[0.251]
3.09
(44)
[-0.354]
82.43
(96)
[0.354]
8.17
(13)
[-0.591]
5.78
(18)
[-0.465]
34.50
(119)
[0.040]
32.11
(132)
[0.152]
74.66
(124)
[-0.043]
66.84
(132)
[-0.157]
72.27
(110)
[0.156]
14.78
(106)
[-0.183]
80.63
(96)
[0.347]
7.16
(123)
[-0.145]
12.59
(13)
[-0.680]
79.57
(91)
[0.439]
8.97
(95)
[-0.333]
68.82
(112)
[0.134]
61.24
(115)
[-0.021]
73.42
(117)
[0.017]
75.65
(114)
[0.087]
91.53
(4)
[0.956]
64.93
(167)
[-0.729]
7.12
(116)
[-0.153]
 19.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  91.91 
 (6.92) 
 [0.868] 
85.90
(1)
[1.375]
11.55
(84)
[-0.328]
2.83
(32)
[-0.631]
4.33
(13)
[-0.706]
4.60
(14)
[-0.697]
4.96
(3)
[-0.859]
5.05
(2)
[-0.878]
88.64
(1)
[1.169]
92.69
(1)
[1.038]
94.60
(8)
[0.802]
7.31
(1)
[-1.038]
1.22
(9)
[-0.377]
93.15
(1)
[1.032]
90.04
(1)
[1.007]
1.93
(7)
[-0.438]
93.39
(1)
[1.001]
7.97
(11)
[-0.605]
5.89
(19)
[-0.458]
13.87
(1)
[-1.182]
11.79
(1)
[-1.065]
92.69
(1)
[1.038]
88.18
(1)
[1.121]
88.91
(1)
[1.136]
5.86
(1)
[-0.807]
92.38
(1)
[1.068]
3.56
(2)
[-0.412]
10.96
(6)
[-0.797]
87.36
(2)
[0.929]
3.88
(1)
[-0.662]
87.61
(1)
[1.110]
82.73
(1)
[1.250]
90.06
(1)
[1.034]
90.19
(1)
[1.018]
91.01
(8)
[0.927]
89.64
(9)
[0.785]
2.98
(1)
[-0.456]
 20.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (54.28) 
 [0.575] 
66.88
(87)
[0.530]
13.63
(102)
[-0.220]
11.93
(135)
[-0.166]
8.46
(76)
[-0.510]
8.44
(78)
[-0.514]
4.92
(2)
[-0.861]
6.97
(29)
[-0.811]
79.87
(54)
[0.679]
85.76
(50)
[0.623]
88.16
(85)
[0.424]
14.24
(50)
[-0.623]
2.36
(76)
[-0.296]
85.72
(59)
[0.607]
78.65
(67)
[0.536]
4.45
(79)
[-0.256]
86.33
(59)
[0.584]
11.00
(74)
[-0.394]
5.90
(20)
[-0.456]
21.14
(43)
[-0.751]
16.05
(34)
[-0.809]
85.76
(50)
[0.623]
81.49
(44)
[0.720]
81.61
(47)
[0.706]
9.50
(45)
[-0.552]
85.88
(44)
[0.669]
3.88
(3)
[-0.389]
13.10
(23)
[-0.643]
85.65
(6)
[0.821]
6.52
(53)
[-0.492]
80.86
(45)
[0.759]
75.31
(40)
[0.812]
85.05
(45)
[0.728]
85.32
(44)
[0.705]
85.89
(57)
[0.639]
85.29
(58)
[0.518]
5.58
(91)
[-0.266]
 21.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (117.14) 
 [0.068] 
54.05
(109)
[-0.041]
15.88
(122)
[-0.103]
14.45
(148)
[-0.037]
13.62
(118)
[-0.265]
14.03
(120)
[-0.248]
23.44
(132)
[0.031]
26.47
(124)
[-0.135]
66.75
(119)
[-0.054]
73.67
(131)
[-0.102]
81.41
(132)
[0.027]
26.33
(131)
[0.102]
3.35
(114)
[-0.226]
73.14
(135)
[-0.113]
65.75
(121)
[0.002]
6.76
(138)
[-0.090]
75.09
(133)
[-0.080]
8.88
(18)
[-0.542]
5.98
(21)
[-0.451]
33.93
(116)
[0.006]
31.03
(129)
[0.087]
73.67
(131)
[-0.102]
68.93
(116)
[-0.032]
69.15
(119)
[-0.027]
15.95
(118)
[-0.101]
74.85
(126)
[-0.009]
6.93
(116)
[-0.162]
17.65
(97)
[-0.317]
78.09
(102)
[0.346]
12.36
(130)
[-0.114]
64.94
(126)
[-0.068]
60.71
(118)
[-0.052]
71.13
(131)
[-0.124]
73.53
(124)
[-0.049]
76.97
(117)
[0.138]
76.81
(134)
[-0.001]
6.29
(101)
[-0.214]
 22.  test's TBES 1.0  [large] 0 0 0 0  74.46 
 (109.39) 
 [-0.081] 
43.43
(140)
[-0.513]
56.34
(181)
[2.001]
2.19
(30)
[-0.664]
5.38
(28)
[-0.657]
6.45
(63)
[-0.608]
27.28
(140)
[0.216]
80.06
(170)
[1.722]
65.64
(127)
[-0.116]
68.15
(147)
[-0.433]
95.50
(4)
[0.856]
31.85
(147)
[0.433]
0.88
(6)
[-0.401]
75.64
(121)
[0.030]
66.02
(119)
[0.013]
4.53
(87)
[-0.251]
78.45
(116)
[0.119]
7.51
(9)
[-0.637]
6.01
(22)
[-0.449]
41.75
(147)
[0.470]
40.25
(155)
[0.638]
68.15
(147)
[-0.433]
59.33
(152)
[-0.607]
65.93
(137)
[-0.217]
18.00
(136)
[0.043]
76.18
(120)
[0.073]
8.36
(145)
[-0.055]
16.92
(91)
[-0.369]
76.67
(111)
[0.256]
9.82
(108)
[-0.278]
64.42
(130)
[-0.095]
55.54
(140)
[-0.357]
69.52
(138)
[-0.222]
72.19
(133)
[-0.135]
91.42
(5)
[0.950]
58.90
(171)
[-1.098]
7.12
(115)
[-0.153]
 23.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (89.06) 
 [0.338] 
61.19
(96)
[0.277]
1.92
(22)
[-0.829]
27.02
(163)
[0.606]
9.33
(82)
[-0.469]
9.05
(83)
[-0.485]
15.17
(104)
[-0.367]
12.12
(61)
[-0.633]
71.69
(101)
[0.222]
81.16
(97)
[0.346]
76.34
(145)
[-0.271]
18.84
(97)
[-0.346]
3.77
(124)
[-0.197]
77.20
(116)
[0.119]
71.87
(98)
[0.255]
6.40
(132)
[-0.116]
77.95
(117)
[0.089]
8.36
(15)
[-0.578]
6.01
(23)
[-0.449]
25.98
(91)
[-0.465]
23.63
(100)
[-0.356]
81.16
(97)
[0.346]
78.15
(85)
[0.520]
75.50
(96)
[0.346]
11.75
(90)
[-0.395]
76.27
(119)
[0.078]
4.88
(46)
[-0.314]
16.00
(76)
[-0.435]
80.93
(79)
[0.524]
9.19
(100)
[-0.319]
75.75
(89)
[0.494]
70.11
(89)
[0.504]
80.97
(89)
[0.478]
81.91
(88)
[0.488]
75.75
(125)
[0.070]
90.27
(6)
[0.823]
4.93
(65)
[-0.313]
 24.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (117.61) 
 [-0.200] 
37.72
(150)
[-0.767]
59.77
(185)
[2.179]
1.25
(24)
[-0.712]
7.24
(71)
[-0.568]
8.22
(76)
[-0.524]
27.55
(141)
[0.230]
95.08
(182)
[2.243]
63.30
(137)
[-0.247]
65.66
(154)
[-0.583]
96.20
(3)
[0.896]
34.34
(154)
[0.583]
0.60
(3)
[-0.421]
74.19
(129)
[-0.053]
63.73
(128)
[-0.082]
5.27
(117)
[-0.197]
77.29
(122)
[0.051]
7.57
(10)
[-0.632]
6.02
(24)
[-0.448]
44.81
(152)
[0.651]
43.26
(159)
[0.819]
65.66
(154)
[-0.583]
56.32
(159)
[-0.787]
63.34
(144)
[-0.369]
19.40
(146)
[0.141]
75.45
(122)
[0.028]
8.76
(152)
[-0.026]
18.00
(102)
[-0.292]
75.24
(116)
[0.166]
10.93
(118)
[-0.206]
60.46
(138)
[-0.301]
51.10
(150)
[-0.620]
66.22
(149)
[-0.424]
69.21
(147)
[-0.326]
91.55
(3)
[0.957]
53.39
(179)
[-1.436]
8.10
(134)
[-0.082]
 25.  yuanj's FSEG   [large] 0 0 0 0  85.77 
 (61.28) 
 [0.521] 
69.18
(67)
[0.632]
14.69
(113)
[-0.165]
13.64
(146)
[-0.078]
5.13
(26)
[-0.668]
4.62
(15)
[-0.696]
9.18
(60)
[-0.656]
12.54
(64)
[-0.618]
78.23
(65)
[0.588]
84.45
(64)
[0.544]
87.38
(96)
[0.378]
15.55
(64)
[-0.544]
2.52
(88)
[-0.284]
84.25
(71)
[0.522]
78.83
(64)
[0.543]
4.73
(95)
[-0.236]
85.04
(69)
[0.508]
9.35
(30)
[-0.509]
6.08
(25)
[-0.444]
22.93
(56)
[-0.645]
19.67
(56)
[-0.593]
84.45
(64)
[0.544]
80.09
(51)
[0.637]
79.93
(62)
[0.607]
10.01
(52)
[-0.517]
82.56
(72)
[0.465]
4.70
(36)
[-0.328]
14.47
(37)
[-0.545]
82.95
(39)
[0.652]
6.99
(63)
[-0.461]
79.55
(58)
[0.692]
73.53
(51)
[0.706]
83.84
(54)
[0.654]
84.48
(51)
[0.652]
84.31
(70)
[0.551]
85.99
(53)
[0.561]
4.64
(59)
[-0.334]
 26.  th's texture2015   [large] 0 0 0 0  83.29 
 (51.11) 
 [0.439] 
70.99
(56)
[0.712]
70.60
(189)
[2.742]
3.44
(37)
[-0.600]
3.16
(4)
[-0.762]
3.25
(3)
[-0.761]
9.22
(61)
[-0.654]
95.93
(185)
[2.272]
80.89
(46)
[0.736]
84.74
(62)
[0.561]
94.68
(7)
[0.807]
15.26
(62)
[-0.561]
0.98
(7)
[-0.394]
87.64
(42)
[0.717]
82.00
(47)
[0.674]
2.29
(23)
[-0.412]
88.50
(42)
[0.712]
8.62
(16)
[-0.559]
6.41
(26)
[-0.421]
23.23
(62)
[-0.628]
21.01
(79)
[-0.512]
84.74
(62)
[0.561]
78.51
(79)
[0.542]
81.28
(50)
[0.687]
9.78
(48)
[-0.532]
86.15
(41)
[0.686]
5.05
(56)
[-0.302]
9.65
(1)
[-0.891]
82.86
(41)
[0.646]
5.95
(39)
[-0.528]
80.58
(47)
[0.745]
73.61
(48)
[0.711]
84.20
(50)
[0.676]
84.75
(47)
[0.669]
91.24
(7)
[0.940]
79.38
(122)
[0.156]
4.40
(46)
[-0.352]
 27.  th's multi2015   [large] 0 0 0 0  84.84 
 (75.47) 
 [0.468] 
68.43
(76)
[0.599]
17.55
(143)
[-0.016]
14.72
(149)
[-0.023]
5.35
(27)
[-0.658]
4.63
(16)
[-0.695]
12.05
(94)
[-0.517]
14.03
(77)
[-0.567]
77.13
(79)
[0.526]
83.91
(76)
[0.512]
85.99
(112)
[0.296]
16.09
(76)
[-0.512]
3.06
(106)
[-0.246]
83.34
(84)
[0.470]
77.85
(76)
[0.503]
5.02
(110)
[-0.215]
84.09
(84)
[0.452]
9.67
(35)
[-0.486]
6.43
(27)
[-0.420]
24.11
(71)
[-0.576]
20.86
(76)
[-0.522]
83.91
(76)
[0.512]
79.19
(68)
[0.583]
79.03
(76)
[0.555]
10.35
(61)
[-0.493]
81.90
(83)
[0.424]
5.00
(52)
[-0.306]
15.35
(57)
[-0.482]
81.47
(58)
[0.558]
7.99
(85)
[-0.397]
77.89
(79)
[0.605]
72.25
(64)
[0.631]
82.83
(73)
[0.592]
83.56
(67)
[0.593]
82.47
(99)
[0.447]
86.24
(49)
[0.576]
5.08
(76)
[-0.302]
 28.  th's texture2015   [large] 0 0 0 0  72.84 
 (131.08) 
 [-0.202] 
45.25
(135)
[-0.432]
9.67
(62)
[-0.426]
40.69
(173)
[1.306]
8.65
(79)
[-0.501]
8.52
(79)
[-0.510]
31.40
(146)
[0.415]
37.91
(139)
[0.261]
58.49
(150)
[-0.515]
70.58
(141)
[-0.288]
69.20
(159)
[-0.692]
29.42
(141)
[0.288]
8.24
(166)
[0.120]
65.29
(154)
[-0.562]
56.86
(150)
[-0.366]
10.39
(172)
[0.173]
67.03
(155)
[-0.556]
10.65
(58)
[-0.419]
6.53
(28)
[-0.412]
38.50
(137)
[0.277]
34.39
(141)
[0.288]
70.58
(141)
[-0.288]
66.81
(133)
[-0.159]
63.77
(141)
[-0.343]
17.21
(128)
[-0.013]
67.58
(152)
[-0.455]
7.20
(125)
[-0.142]
21.80
(134)
[-0.018]
69.36
(144)
[-0.204]
19.04
(159)
[0.318]
57.86
(147)
[-0.436]
54.82
(143)
[-0.400]
68.59
(143)
[-0.279]
71.08
(140)
[-0.206]
59.72
(159)
[-0.830]
88.22
(25)
[0.698]
8.54
(140)
[-0.049]
 29.  felipecalderero's GSRM MARKOV sup. KL area-unweighted  [normal] 0 0 1 0  58.40 
 (161.86) 
 [-1.029] 
21.25
(173)
[-1.499]
6.13
(39)
[-0.610]
49.95
(177)
[1.779]
24.57
(147)
[0.255]
23.37
(145)
[0.196]
60.05
(181)
[1.795]
40.84
(147)
[0.363]
37.52
(181)
[-1.687]
53.27
(177)
[-1.326]
61.10
(177)
[-1.168]
46.73
(177)
[1.326]
18.42
(187)
[0.841]
45.16
(185)
[-1.714]
29.90
(183)
[-1.482]
19.35
(188)
[0.820]
49.58
(184)
[-1.586]
12.47
(105)
[-0.292]
6.54
(29)
[-0.412]
57.52
(176)
[1.404]
51.59
(176)
[1.317]
53.27
(177)
[-1.326]
49.28
(172)
[-1.208]
44.10
(178)
[-1.501]
26.02
(170)
[0.604]
53.18
(176)
[-1.340]
10.28
(167)
[0.087]
34.43
(176)
[0.889]
49.28
(181)
[-1.469]
41.93
(188)
[1.797]
27.97
(186)
[-1.989]
37.24
(175)
[-1.440]
50.96
(177)
[-1.357]
56.40
(171)
[-1.146]
38.90
(187)
[-1.998]
87.22
(35)
[0.636]
13.06
(177)
[0.281]
 30.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.27 
 (20.50) 
 [0.775] 
81.45
(22)
[1.178]
12.30
(92)
[-0.289]
6.04
(59)
[-0.467]
4.66
(19)
[-0.691]
4.87
(23)
[-0.684]
6.10
(13)
[-0.804]
6.78
(26)
[-0.818]
86.07
(17)
[1.026]
91.07
(20)
[0.941]
92.28
(36)
[0.666]
8.93
(20)
[-0.941]
1.78
(44)
[-0.337]
91.03
(23)
[0.911]
87.55
(18)
[0.904]
2.57
(30)
[-0.392]
91.35
(23)
[0.880]
8.85
(17)
[-0.544]
6.58
(30)
[-0.409]
15.99
(9)
[-1.057]
13.72
(16)
[-0.949]
91.07
(20)
[0.941]
86.44
(9)
[1.017]
86.71
(10)
[1.007]
6.91
(4)
[-0.734]
90.65
(10)
[0.962]
3.99
(5)
[-0.381]
12.26
(9)
[-0.704]
85.64
(7)
[0.821]
4.97
(20)
[-0.591]
85.06
(11)
[0.978]
79.99
(10)
[1.088]
88.14
(11)
[0.917]
88.41
(7)
[0.904]
88.18
(28)
[0.768]
89.21
(12)
[0.758]
3.32
(8)
[-0.431]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 31.  felipecalderero's GSRM MARKOV unsup. BHAT area-unweighted  [normal] 0 0 0 0  58.00 
 (162.61) 
 [-1.047] 
19.40
(175)
[-1.581]
8.96
(57)
[-0.463]
58.24
(186)
[2.203]
14.89
(124)
[-0.205]
13.72
(116)
[-0.263]
66.84
(188)
[2.122]
45.37
(153)
[0.520]
36.85
(183)
[-1.725]
51.99
(181)
[-1.402]
57.98
(181)
[-1.352]
48.01
(181)
[1.402]
17.42
(185)
[0.770]
44.18
(186)
[-1.770]
30.20
(182)
[-1.469]
14.90
(179)
[0.499]
47.83
(188)
[-1.689]
11.56
(87)
[-0.355]
6.66
(31)
[-0.404]
58.56
(179)
[1.466]
53.66
(178)
[1.441]
51.99
(181)
[-1.402]
48.39
(174)
[-1.262]
43.58
(179)
[-1.532]
26.36
(171)
[0.628]
51.35
(183)
[-1.452]
10.97
(170)
[0.138]
27.32
(159)
[0.378]
50.34
(179)
[-1.402]
39.77
(186)
[1.658]
27.64
(187)
[-2.006]
34.86
(179)
[-1.581]
49.39
(179)
[-1.453]
55.05
(173)
[-1.233]
39.24
(186)
[-1.979]
84.65
(69)
[0.479]
13.72
(179)
[0.330]
 32.  felipecalderero's GSRM sup. KL area-unweighted  [normal] 0 0 1 0  63.11 
 (155.00) 
 [-0.761] 
26.52
(170)
[-1.265]
6.92
(42)
[-0.569]
46.13
(176)
[1.584]
21.50
(143)
[0.109]
20.99
(141)
[0.083]
55.50
(174)
[1.576]
32.41
(132)
[0.070]
44.41
(170)
[-1.302]
58.90
(167)
[-0.988]
64.56
(168)
[-0.965]
41.10
(167)
[0.988]
15.74
(183)
[0.652]
52.16
(172)
[-1.314]
38.35
(173)
[-1.132]
15.95
(186)
[0.574]
56.08
(171)
[-1.202]
13.95
(121)
[-0.189]
6.67
(32)
[-0.403]
51.39
(164)
[1.041]
44.10
(162)
[0.869]
58.90
(167)
[-0.988]
54.83
(164)
[-0.876]
50.50
(165)
[-1.125]
23.06
(160)
[0.397]
57.92
(167)
[-1.049]
9.00
(153)
[-0.008]
30.28
(169)
[0.591]
57.57
(166)
[-0.947]
32.62
(180)
[1.196]
37.42
(175)
[-1.498]
43.17
(165)
[-1.089]
57.07
(166)
[-0.983]
61.20
(167)
[-0.839]
45.75
(179)
[-1.614]
86.03
(52)
[0.563]
12.06
(171)
[0.208]
 33.  th's texture2015   [large] 0 0 0 0  73.16 
 (130.36) 
 [-0.181] 
44.99
(137)
[-0.444]
12.43
(94)
[-0.283]
39.67
(172)
[1.254]
8.83
(81)
[-0.493]
8.13
(75)
[-0.528]
32.91
(148)
[0.488]
40.99
(149)
[0.368]
59.45
(146)
[-0.462]
71.29
(137)
[-0.245]
69.37
(158)
[-0.682]
28.71
(137)
[0.245]
7.82
(163)
[0.091]
66.37
(152)
[-0.500]
58.06
(145)
[-0.316]
9.76
(166)
[0.127]
67.89
(152)
[-0.505]
10.78
(63)
[-0.410]
6.68
(33)
[-0.402]
38.00
(136)
[0.248]
33.90
(139)
[0.259]
71.29
(137)
[-0.245]
67.35
(128)
[-0.126]
64.37
(140)
[-0.308]
16.84
(123)
[-0.038]
67.64
(151)
[-0.451]
7.10
(121)
[-0.150]
21.61
(133)
[-0.032]
69.87
(142)
[-0.173]
18.14
(158)
[0.260]
59.58
(142)
[-0.346]
56.02
(137)
[-0.329]
69.87
(134)
[-0.201]
72.10
(134)
[-0.141]
61.81
(154)
[-0.712]
87.58
(31)
[0.659]
8.87
(145)
[-0.025]
 34.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (136.56) 
 [-0.348] 
37.42
(151)
[-0.780]
59.53
(183)
[2.167]
8.86
(98)
[-0.323]
12.54
(105)
[-0.316]
13.14
(111)
[-0.291]
34.32
(153)
[0.556]
100.00
(189)
[2.413]
59.46
(145)
[-0.461]
64.81
(155)
[-0.634]
91.79
(45)
[0.637]
35.19
(155)
[0.634]
3.39
(115)
[-0.223]
69.60
(141)
[-0.316]
58.89
(142)
[-0.282]
4.88
(99)
[-0.225]
73.15
(138)
[-0.194]
12.13
(100)
[-0.316]
6.70
(34)
[-0.401]
47.22
(157)
[0.794]
41.79
(157)
[0.731]
64.81
(155)
[-0.634]
54.85
(163)
[-0.875]
61.34
(151)
[-0.486]
19.76
(149)
[0.166]
72.15
(139)
[-0.175]
9.84
(161)
[0.054]
18.31
(104)
[-0.269]
69.70
(143)
[-0.183]
15.43
(147)
[0.085]
55.99
(150)
[-0.533]
49.12
(154)
[-0.737]
64.44
(153)
[-0.533]
67.22
(152)
[-0.453]
78.72
(113)
[0.237]
61.85
(168)
[-0.918]
8.65
(141)
[-0.041]
 35.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (106.69) 
 [0.199] 
56.37
(103)
[0.063]
11.93
(85)
[-0.309]
19.79
(158)
[0.236]
11.55
(92)
[-0.363]
10.29
(87)
[-0.426]
18.21
(116)
[-0.221]
9.63
(53)
[-0.719]
69.45
(116)
[0.097]
78.26
(108)
[0.173]
81.24
(133)
[0.017]
21.74
(108)
[-0.173]
4.16
(133)
[-0.169]
76.31
(117)
[0.068]
68.88
(115)
[0.132]
7.37
(149)
[-0.045]
77.86
(119)
[0.084]
11.99
(97)
[-0.325]
6.71
(35)
[-0.400]
30.48
(102)
[-0.198]
25.20
(105)
[-0.262]
78.26
(108)
[0.173]
73.70
(99)
[0.254]
72.48
(106)
[0.169]
13.66
(99)
[-0.261]
76.83
(116)
[0.113]
5.74
(96)
[-0.250]
18.34
(105)
[-0.267]
78.12
(101)
[0.347]
11.74
(128)
[-0.154]
68.74
(113)
[0.130]
63.73
(105)
[0.126]
75.91
(108)
[0.169]
77.00
(106)
[0.173]
73.11
(138)
[-0.078]
83.24
(94)
[0.392]
5.45
(88)
[-0.275]
 36.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.37 
 (54.00) 
 [0.556] 
70.45
(59)
[0.688]
19.69
(161)
[0.095]
5.54
(56)
[-0.492]
4.86
(22)
[-0.681]
4.92
(24)
[-0.681]
8.29
(50)
[-0.699]
15.16
(87)
[-0.528]
80.05
(53)
[0.689]
84.75
(60)
[0.562]
92.21
(37)
[0.662]
15.25
(60)
[-0.562]
1.60
(32)
[-0.350]
86.65
(52)
[0.660]
81.05
(52)
[0.635]
4.20
(64)
[-0.274]
87.52
(51)
[0.655]
9.18
(26)
[-0.521]
6.73
(36)
[-0.399]
22.98
(58)
[-0.642]
20.53
(68)
[-0.541]
84.75
(60)
[0.562]
79.26
(66)
[0.587]
80.78
(54)
[0.658]
10.00
(51)
[-0.517]
85.78
(46)
[0.662]
4.95
(50)
[-0.310]
14.51
(41)
[-0.542]
82.85
(42)
[0.645]
6.29
(47)
[-0.506]
80.16
(50)
[0.723]
73.54
(50)
[0.707]
84.02
(52)
[0.665]
84.56
(50)
[0.657]
88.58
(18)
[0.790]
81.65
(111)
[0.295]
4.45
(48)
[-0.348]
 37.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.21 
 (33.03) 
 [0.713] 
80.05
(28)
[1.115]
9.10
(59)
[-0.456]
9.02
(100)
[-0.315]
3.87
(7)
[-0.728]
4.15
(8)
[-0.718]
7.95
(45)
[-0.715]
7.44
(34)
[-0.795]
84.00
(30)
[0.910]
89.72
(30)
[0.860]
90.01
(69)
[0.532]
10.28
(30)
[-0.860]
2.26
(72)
[-0.303]
89.15
(32)
[0.803]
85.31
(29)
[0.811]
3.10
(45)
[-0.354]
89.49
(35)
[0.771]
8.98
(20)
[-0.535]
6.79
(37)
[-0.395]
17.61
(28)
[-0.960]
15.42
(30)
[-0.847]
89.72
(30)
[0.860]
85.03
(26)
[0.933]
85.09
(27)
[0.911]
7.61
(18)
[-0.685]
88.96
(28)
[0.858]
4.25
(16)
[-0.361]
13.48
(25)
[-0.616]
84.38
(22)
[0.742]
5.89
(37)
[-0.532]
83.29
(29)
[0.886]
78.25
(28)
[0.985]
86.93
(27)
[0.843]
87.37
(25)
[0.837]
86.16
(55)
[0.654]
89.52
(10)
[0.778]
3.65
(18)
[-0.407]
 38.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (51.69) 
 [0.591] 
72.54
(48)
[0.781]
10.92
(79)
[-0.361]
9.61
(107)
[-0.284]
10.25
(88)
[-0.425]
9.83
(86)
[-0.448]
7.33
(32)
[-0.745]
8.17
(38)
[-0.770]
80.58
(49)
[0.719]
86.89
(43)
[0.690]
88.28
(80)
[0.431]
13.11
(43)
[-0.690]
2.36
(75)
[-0.296]
86.39
(54)
[0.645]
80.33
(57)
[0.605]
3.69
(52)
[-0.311]
86.97
(55)
[0.622]
11.92
(96)
[-0.330]
6.85
(38)
[-0.390]
20.64
(40)
[-0.781]
15.56
(31)
[-0.839]
86.89
(43)
[0.690]
82.46
(37)
[0.778]
81.90
(45)
[0.723]
9.18
(38)
[-0.575]
84.35
(61)
[0.575]
4.30
(19)
[-0.358]
14.49
(40)
[-0.544]
84.14
(27)
[0.726]
6.03
(43)
[-0.523]
81.48
(40)
[0.792]
75.77
(37)
[0.839]
85.35
(37)
[0.746]
85.50
(39)
[0.717]
84.76
(67)
[0.576]
86.57
(45)
[0.597]
4.49
(52)
[-0.345]
 39.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.81 
 (27.03) 
 [0.748] 
80.72
(26)
[1.145]
9.87
(63)
[-0.416]
6.62
(73)
[-0.437]
5.08
(25)
[-0.671]
5.27
(33)
[-0.665]
6.05
(11)
[-0.807]
7.03
(30)
[-0.809]
85.07
(25)
[0.970]
90.47
(27)
[0.905]
91.24
(52)
[0.605]
9.53
(27)
[-0.905]
1.93
(54)
[-0.326]
90.18
(27)
[0.862]
86.52
(25)
[0.862]
2.73
(34)
[-0.380]
90.51
(27)
[0.831]
9.09
(21)
[-0.527]
6.86
(39)
[-0.389]
16.84
(22)
[-1.006]
14.61
(26)
[-0.895]
90.47
(27)
[0.905]
85.70
(21)
[0.973]
85.89
(23)
[0.958]
7.28
(11)
[-0.707]
90.01
(24)
[0.922]
4.15
(12)
[-0.369]
12.90
(18)
[-0.658]
84.97
(14)
[0.779]
5.26
(24)
[-0.573]
84.40
(20)
[0.943]
79.21
(17)
[1.042]
87.68
(17)
[0.889]
87.98
(17)
[0.876]
87.23
(43)
[0.714]
89.36
(11)
[0.768]
3.27
(7)
[-0.434]
 40.  alexandliutao@gmail.com's atom20t14   [large] 0 0 0 0  90.90 
 (12.28) 
 [0.809] 
84.25
(2)
[1.302]
11.45
(82)
[-0.334]
2.97
(33)
[-0.624]
4.49
(16)
[-0.699]
4.71
(18)
[-0.691]
5.72
(5)
[-0.823]
6.77
(24)
[-0.818]
87.15
(4)
[1.086]
91.72
(13)
[0.980]
93.80
(11)
[0.755]
8.28
(13)
[-0.980]
1.40
(11)
[-0.364]
92.20
(6)
[0.977]
88.68
(6)
[0.951]
2.11
(17)
[-0.425]
92.47
(6)
[0.947]
9.09
(22)
[-0.527]
6.88
(40)
[-0.388]
15.51
(4)
[-1.085]
13.30
(9)
[-0.974]
91.72
(13)
[0.980]
86.70
(6)
[1.032]
87.46
(2)
[1.051]
6.66
(2)
[-0.751]
91.44
(2)
[1.010]
4.02
(6)
[-0.379]
12.34
(10)
[-0.698]
85.74
(4)
[0.827]
4.48
(4)
[-0.623]
85.93
(2)
[1.023]
80.68
(2)
[1.129]
88.73
(2)
[0.953]
88.90
(2)
[0.935]
89.83
(11)
[0.861]
88.34
(22)
[0.705]
3.32
(10)
[-0.431]
 40.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.90 
 (12.28) 
 [0.809] 
84.25
(2)
[1.302]
11.45
(82)
[-0.334]
2.97
(33)
[-0.624]
4.49
(16)
[-0.699]
4.71
(18)
[-0.691]
5.72
(5)
[-0.823]
6.77
(24)
[-0.818]
87.15
(4)
[1.086]
91.72
(13)
[0.980]
93.80
(11)
[0.755]
8.28
(13)
[-0.980]
1.40
(11)
[-0.364]
92.20
(6)
[0.977]
88.68
(6)
[0.951]
2.11
(17)
[-0.425]
92.47
(6)
[0.947]
9.09
(22)
[-0.527]
6.88
(40)
[-0.388]
15.51
(4)
[-1.085]
13.30
(9)
[-0.974]
91.72
(13)
[0.980]
86.70
(6)
[1.032]
87.46
(2)
[1.051]
6.66
(2)
[-0.751]
91.44
(2)
[1.010]
4.02
(6)
[-0.379]
12.34
(10)
[-0.698]
85.74
(4)
[0.827]
4.48
(4)
[-0.623]
85.93
(2)
[1.023]
80.68
(2)
[1.129]
88.73
(2)
[0.953]
88.90
(2)
[0.935]
89.83
(11)
[0.861]
88.34
(22)
[0.705]
3.32
(10)
[-0.431]
 42.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.92 
 (25.83) 
 [0.753] 
80.85
(24)
[1.151]
8.17
(49)
[-0.504]
7.55
(88)
[-0.390]
4.61
(18)
[-0.693]
4.94
(25)
[-0.680]
6.18
(17)
[-0.800]
6.32
(18)
[-0.834]
85.08
(24)
[0.970]
90.52
(26)
[0.908]
91.00
(55)
[0.591]
9.48
(26)
[-0.908]
1.95
(55)
[-0.325]
90.12
(29)
[0.859]
86.53
(24)
[0.862]
2.68
(32)
[-0.384]
90.43
(29)
[0.826]
9.17
(25)
[-0.521]
6.90
(42)
[-0.387]
16.67
(19)
[-1.016]
14.40
(23)
[-0.908]
90.52
(26)
[0.908]
85.89
(19)
[0.984]
85.96
(22)
[0.962]
7.19
(9)
[-0.714]
89.80
(26)
[0.909]
4.13
(10)
[-0.371]
12.92
(19)
[-0.657]
85.04
(13)
[0.783]
5.15
(23)
[-0.580]
84.62
(15)
[0.955]
79.42
(16)
[1.055]
87.85
(13)
[0.899]
88.12
(15)
[0.885]
87.11
(45)
[0.708]
89.71
(8)
[0.789]
3.17
(3)
[-0.442]
 43.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.59 
 (17.06) 
 [0.791] 
82.97
(9)
[1.245]
9.49
(61)
[-0.435]
3.37
(36)
[-0.604]
5.76
(40)
[-0.638]
6.00
(53)
[-0.630]
5.69
(4)
[-0.824]
6.17
(16)
[-0.839]
86.55
(8)
[1.052]
91.38
(17)
[0.960]
93.37
(21)
[0.730]
8.62
(17)
[-0.960]
1.56
(24)
[-0.353]
91.56
(17)
[0.941]
88.00
(10)
[0.923]
2.46
(28)
[-0.400]
91.90
(17)
[0.913]
9.09
(24)
[-0.527]
6.90
(43)
[-0.387]
15.80
(8)
[-1.068]
13.60
(13)
[-0.956]
91.38
(17)
[0.960]
86.55
(8)
[1.023]
87.03
(8)
[1.025]
6.93
(5)
[-0.732]
90.99
(8)
[0.982]
4.04
(8)
[-0.377]
12.57
(12)
[-0.682]
85.52
(8)
[0.813]
4.82
(15)
[-0.601]
85.31
(9)
[0.991]
80.22
(5)
[1.102]
88.30
(7)
[0.927]
88.55
(4)
[0.913]
88.87
(15)
[0.807]
88.76
(15)
[0.731]
3.19
(4)
[-0.440]
 44.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  89.70 
 (29.44) 
 [0.742] 
80.38
(27)
[1.130]
10.64
(74)
[-0.375]
6.26
(64)
[-0.456]
5.90
(48)
[-0.632]
5.98
(52)
[-0.631]
6.22
(18)
[-0.799]
7.10
(31)
[-0.807]
85.00
(26)
[0.966]
90.41
(28)
[0.901]
91.33
(47)
[0.610]
9.59
(28)
[-0.901]
1.93
(53)
[-0.327]
90.13
(28)
[0.859]
86.48
(26)
[0.860]
2.70
(33)
[-0.383]
90.49
(28)
[0.829]
9.28
(28)
[-0.513]
6.92
(44)
[-0.385]
16.95
(23)
[-1.000]
14.59
(25)
[-0.897]
90.41
(28)
[0.901]
85.62
(23)
[0.968]
85.80
(24)
[0.953]
7.34
(15)
[-0.704]
89.88
(25)
[0.915]
4.18
(14)
[-0.366]
12.96
(20)
[-0.654]
84.87
(15)
[0.772]
5.26
(25)
[-0.573]
84.34
(23)
[0.941]
79.19
(18)
[1.041]
87.63
(20)
[0.886]
87.92
(18)
[0.872]
87.26
(42)
[0.716]
89.18
(13)
[0.757]
3.27
(6)
[-0.435]
 45.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (64.14) 
 [0.520] 
68.72
(71)
[0.611]
9.00
(58)
[-0.461]
6.67
(74)
[-0.435]
15.09
(127)
[-0.195]
15.16
(124)
[-0.194]
7.74
(39)
[-0.725]
6.79
(27)
[-0.818]
78.90
(60)
[0.625]
84.74
(61)
[0.561]
89.30
(73)
[0.491]
15.26
(61)
[-0.561]
2.10
(66)
[-0.315]
85.01
(63)
[0.566]
77.12
(84)
[0.472]
4.54
(88)
[-0.249]
85.98
(62)
[0.563]
13.29
(112)
[-0.235]
6.93
(45)
[-0.384]
22.51
(52)
[-0.670]
16.16
(35)
[-0.803]
84.74
(61)
[0.561]
80.09
(52)
[0.637]
80.13
(60)
[0.619]
10.88
(82)
[-0.456]
84.38
(58)
[0.576]
4.29
(18)
[-0.358]
14.22
(30)
[-0.563]
84.50
(21)
[0.749]
6.84
(60)
[-0.470]
78.95
(62)
[0.660]
73.34
(54)
[0.695]
83.20
(62)
[0.614]
83.40
(73)
[0.583]
84.46
(69)
[0.559]
82.76
(99)
[0.363]
4.96
(66)
[-0.311]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 46.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.41 
 (19.36) 
 [0.781] 
82.18
(16)
[1.210]
9.96
(65)
[-0.411]
4.45
(40)
[-0.548]
5.80
(42)
[-0.637]
5.96
(50)
[-0.632]
5.77
(7)
[-0.820]
6.11
(15)
[-0.841]
86.26
(15)
[1.036]
91.25
(18)
[0.951]
93.00
(28)
[0.709]
8.75
(18)
[-0.951]
1.59
(30)
[-0.351]
91.35
(20)
[0.929]
87.81
(15)
[0.915]
2.41
(27)
[-0.404]
91.70
(20)
[0.901]
9.33
(29)
[-0.510]
6.95
(46)
[-0.383]
16.07
(10)
[-1.052]
13.68
(15)
[-0.951]
91.25
(18)
[0.951]
86.38
(12)
[1.013]
86.78
(9)
[1.010]
7.01
(6)
[-0.727]
90.60
(13)
[0.959]
4.07
(9)
[-0.375]
12.60
(14)
[-0.679]
85.44
(9)
[0.809]
4.79
(10)
[-0.603]
85.24
(10)
[0.987]
80.04
(8)
[1.091]
88.23
(9)
[0.923]
88.45
(6)
[0.906]
88.60
(17)
[0.792]
88.73
(16)
[0.729]
3.24
(5)
[-0.436]
 47.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.31 
 (45.61) 
 [0.606] 
73.33
(45)
[0.816]
16.37
(131)
[-0.078]
5.53
(55)
[-0.493]
4.99
(23)
[-0.675]
5.04
(28)
[-0.675]
7.79
(40)
[-0.723]
10.58
(55)
[-0.686]
81.24
(42)
[0.756]
86.26
(47)
[0.652]
91.76
(46)
[0.636]
13.74
(47)
[-0.652]
1.64
(34)
[-0.347]
87.58
(43)
[0.713]
82.38
(43)
[0.690]
3.98
(58)
[-0.290]
88.27
(43)
[0.698]
9.61
(33)
[-0.491]
6.99
(47)
[-0.380]
21.47
(46)
[-0.732]
18.85
(51)
[-0.642]
86.26
(47)
[0.652]
80.87
(49)
[0.683]
82.00
(42)
[0.729]
9.37
(41)
[-0.562]
85.88
(45)
[0.669]
4.73
(39)
[-0.326]
14.48
(38)
[-0.545]
83.18
(35)
[0.666]
5.97
(42)
[-0.527]
81.48
(39)
[0.792]
75.10
(43)
[0.799]
85.22
(40)
[0.738]
85.60
(38)
[0.724]
88.46
(20)
[0.783]
83.52
(90)
[0.410]
4.19
(37)
[-0.367]
 48.  alexandliutao@gmail.com's filter+sparse+process   [large] 0 0 0 0  90.11 
 (24.75) 
 [0.763] 
83.54
(6)
[1.270]
12.43
(95)
[-0.283]
3.99
(39)
[-0.572]
4.08
(9)
[-0.718]
4.16
(9)
[-0.717]
7.12
(27)
[-0.755]
7.56
(35)
[-0.791]
85.97
(20)
[1.020]
90.85
(23)
[0.928]
92.85
(31)
[0.700]
9.15
(23)
[-0.928]
1.96
(56)
[-0.324]
91.20
(21)
[0.920]
87.44
(20)
[0.900]
2.60
(31)
[-0.390]
91.52
(21)
[0.890]
9.39
(31)
[-0.506]
7.02
(48)
[-0.378]
16.58
(17)
[-1.022]
14.22
(22)
[-0.919]
90.85
(23)
[0.928]
85.74
(20)
[0.975]
86.46
(16)
[0.991]
7.14
(8)
[-0.717]
90.74
(9)
[0.967]
4.18
(15)
[-0.366]
13.10
(22)
[-0.644]
84.31
(23)
[0.737]
5.38
(30)
[-0.565]
84.32
(24)
[0.939]
79.45
(15)
[1.056]
87.84
(15)
[0.898]
88.09
(16)
[0.883]
88.85
(16)
[0.805]
87.87
(27)
[0.676]
3.97
(28)
[-0.383]
 49.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  61.71 
 (150.25) 
 [-0.850] 
32.17
(155)
[-1.013]
4.24
(30)
[-0.708]
61.50
(188)
[2.370]
6.72
(66)
[-0.593]
5.45
(34)
[-0.656]
66.44
(187)
[2.103]
34.48
(135)
[0.142]
41.87
(176)
[-1.444]
58.02
(171)
[-1.041]
46.74
(188)
[-2.013]
41.98
(171)
[1.041]
15.04
(180)
[0.602]
48.64
(180)
[-1.515]
37.36
(176)
[-1.173]
15.91
(185)
[0.572]
50.33
(182)
[-1.542]
9.26
(27)
[-0.515]
7.10
(49)
[-0.373]
52.64
(167)
[1.115]
50.48
(174)
[1.251]
58.02
(171)
[-1.041]
55.45
(161)
[-0.839]
48.62
(172)
[-1.235]
23.62
(163)
[0.436]
50.29
(184)
[-1.517]
9.81
(159)
[0.052]
31.97
(173)
[0.712]
50.01
(180)
[-1.423]
35.73
(183)
[1.397]
38.31
(173)
[-1.452]
42.03
(168)
[-1.156]
56.48
(167)
[-1.020]
61.70
(163)
[-0.807]
45.25
(181)
[-1.642]
91.11
(3)
[0.874]
18.39
(187)
[0.671]
 50.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.18 
 (58.28) 
 [0.543] 
70.17
(60)
[0.676]
18.19
(150)
[0.017]
7.21
(84)
[-0.407]
5.60
(34)
[-0.646]
5.83
(46)
[-0.638]
8.47
(53)
[-0.690]
12.66
(65)
[-0.614]
79.81
(55)
[0.676]
84.89
(59)
[0.570]
91.28
(48)
[0.607]
15.11
(59)
[-0.570]
1.78
(43)
[-0.337]
86.44
(53)
[0.648]
80.80
(53)
[0.625]
4.16
(61)
[-0.277]
87.23
(53)
[0.637]
9.84
(39)
[-0.474]
7.11
(50)
[-0.372]
23.09
(59)
[-0.636]
20.35
(64)
[-0.552]
84.89
(59)
[0.570]
79.30
(63)
[0.589]
80.62
(55)
[0.648]
10.06
(53)
[-0.513]
85.11
(51)
[0.621]
5.02
(54)
[-0.304]
14.97
(50)
[-0.509]
82.43
(50)
[0.619]
6.42
(51)
[-0.498]
79.74
(52)
[0.702]
72.98
(57)
[0.674]
83.73
(57)
[0.647]
84.19
(55)
[0.633]
87.41
(39)
[0.725]
81.91
(110)
[0.311]
4.51
(54)
[-0.344]
 51.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.08 
 (59.86) 
 [0.537] 
69.91
(61)
[0.664]
18.51
(153)
[0.034]
6.89
(76)
[-0.424]
5.55
(32)
[-0.648]
5.61
(39)
[-0.649]
8.27
(49)
[-0.700]
13.23
(69)
[-0.595]
79.53
(56)
[0.660]
84.68
(63)
[0.558]
91.13
(53)
[0.598]
15.32
(63)
[-0.558]
1.81
(46)
[-0.335]
86.18
(56)
[0.633]
80.46
(56)
[0.611]
4.30
(67)
[-0.267]
87.01
(54)
[0.624]
10.15
(43)
[-0.453]
7.14
(51)
[-0.370]
23.19
(61)
[-0.630]
20.18
(62)
[-0.563]
84.68
(63)
[0.558]
79.17
(70)
[0.581]
80.46
(57)
[0.638]
10.19
(57)
[-0.504]
85.26
(49)
[0.631]
5.02
(55)
[-0.304]
15.00
(51)
[-0.507]
82.38
(51)
[0.616]
6.48
(52)
[-0.494]
79.62
(56)
[0.695]
73.06
(56)
[0.678]
83.65
(58)
[0.642]
84.07
(58)
[0.626]
86.99
(48)
[0.701]
82.02
(109)
[0.318]
4.53
(55)
[-0.342]
 52.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.31 
 (45.89) 
 [0.604] 
73.69
(43)
[0.833]
16.07
(128)
[-0.093]
6.39
(69)
[-0.449]
4.68
(20)
[-0.690]
4.83
(21)
[-0.686]
7.63
(34)
[-0.731]
8.71
(42)
[-0.751]
81.07
(44)
[0.746]
86.27
(45)
[0.653]
91.24
(49)
[0.605]
13.73
(45)
[-0.653]
1.67
(37)
[-0.345]
87.34
(46)
[0.700]
82.21
(45)
[0.683]
3.96
(56)
[-0.292]
88.02
(44)
[0.684]
9.82
(37)
[-0.476]
7.15
(52)
[-0.369]
21.34
(44)
[-0.740]
18.67
(49)
[-0.653]
86.27
(45)
[0.653]
80.98
(47)
[0.690]
81.93
(43)
[0.725]
9.39
(42)
[-0.560]
85.88
(42)
[0.669]
4.74
(42)
[-0.325]
14.61
(45)
[-0.535]
83.13
(36)
[0.663]
5.95
(40)
[-0.528]
81.41
(43)
[0.788]
75.00
(44)
[0.793]
85.13
(43)
[0.733]
85.49
(40)
[0.716]
87.91
(29)
[0.753]
83.80
(83)
[0.427]
4.21
(38)
[-0.366]
 52.  th's texture2015   [large] 0 0 0 0  87.31 
 (45.89) 
 [0.604] 
73.69
(43)
[0.833]
16.07
(128)
[-0.093]
6.39
(69)
[-0.449]
4.68
(20)
[-0.690]
4.83
(21)
[-0.686]
7.63
(34)
[-0.731]
8.71
(42)
[-0.751]
81.07
(44)
[0.746]
86.27
(45)
[0.653]
91.24
(49)
[0.605]
13.73
(45)
[-0.653]
1.67
(37)
[-0.345]
87.34
(46)
[0.700]
82.21
(45)
[0.683]
3.96
(56)
[-0.292]
88.02
(44)
[0.684]
9.82
(37)
[-0.476]
7.15
(52)
[-0.369]
21.34
(44)
[-0.740]
18.67
(49)
[-0.653]
86.27
(45)
[0.653]
80.98
(47)
[0.690]
81.93
(43)
[0.725]
9.39
(42)
[-0.560]
85.88
(42)
[0.669]
4.74
(42)
[-0.325]
14.61
(45)
[-0.535]
83.13
(36)
[0.663]
5.95
(40)
[-0.528]
81.41
(43)
[0.788]
75.00
(44)
[0.793]
85.13
(43)
[0.733]
85.49
(40)
[0.716]
87.91
(29)
[0.753]
83.80
(83)
[0.427]
4.21
(38)
[-0.366]
 54.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (73.50) 
 [0.484] 
67.55
(83)
[0.560]
11.36
(81)
[-0.338]
9.11
(101)
[-0.310]
12.58
(107)
[-0.314]
13.54
(114)
[-0.272]
7.81
(42)
[-0.722]
8.42
(40)
[-0.761]
78.07
(66)
[0.579]
84.30
(67)
[0.535]
87.19
(101)
[0.366]
15.70
(67)
[-0.535]
2.91
(102)
[-0.257]
84.32
(69)
[0.527]
76.44
(89)
[0.444]
4.26
(66)
[-0.270]
85.01
(70)
[0.506]
13.33
(114)
[-0.232]
7.21
(54)
[-0.365]
23.13
(60)
[-0.633]
17.01
(39)
[-0.752]
84.30
(67)
[0.535]
79.53
(61)
[0.603]
79.83
(64)
[0.602]
10.85
(77)
[-0.458]
84.77
(54)
[0.601]
4.41
(27)
[-0.350]
14.60
(43)
[-0.536]
83.91
(31)
[0.712]
7.61
(81)
[-0.421]
77.27
(84)
[0.573]
71.45
(80)
[0.583]
82.06
(84)
[0.545]
82.33
(87)
[0.514]
82.59
(97)
[0.454]
82.65
(102)
[0.356]
5.06
(75)
[-0.304]
 55.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.16 
 (23.47) 
 [0.768] 
81.52
(21)
[1.181]
10.37
(71)
[-0.390]
4.79
(45)
[-0.531]
5.97
(51)
[-0.628]
6.26
(60)
[-0.617]
5.96
(9)
[-0.811]
7.12
(32)
[-0.806]
85.99
(19)
[1.021]
91.00
(21)
[0.936]
92.62
(34)
[0.686]
9.00
(21)
[-0.936]
1.61
(33)
[-0.349]
91.14
(22)
[0.917]
87.46
(19)
[0.900]
2.40
(25)
[-0.404]
91.45
(22)
[0.887]
9.67
(34)
[-0.487]
7.22
(55)
[-0.364]
16.28
(12)
[-1.040]
13.83
(18)
[-0.942]
91.00
(21)
[0.936]
86.11
(16)
[0.997]
86.53
(12)
[0.996]
7.12
(7)
[-0.719]
90.37
(20)
[0.945]
4.15
(13)
[-0.368]
12.81
(17)
[-0.664]
85.13
(12)
[0.789]
4.80
(11)
[-0.603]
85.06
(12)
[0.978]
79.81
(12)
[1.078]
88.07
(12)
[0.913]
88.25
(14)
[0.893]
88.47
(19)
[0.784]
88.41
(21)
[0.709]
3.16
(2)
[-0.442]
 56.  th's multi2015   [large] 0 0 0 0  84.69 
 (79.25) 
 [0.460] 
68.00
(78)
[0.579]
19.89
(162)
[0.106]
11.97
(137)
[-0.164]
5.67
(36)
[-0.643]
4.97
(27)
[-0.679]
11.66
(88)
[-0.536]
16.55
(96)
[-0.479]
77.34
(76)
[0.538]
83.79
(80)
[0.504]
87.55
(93)
[0.388]
16.21
(80)
[-0.504]
2.39
(77)
[-0.294]
84.02
(73)
[0.509]
78.07
(73)
[0.512]
4.37
(73)
[-0.262]
84.81
(75)
[0.494]
11.18
(77)
[-0.382]
7.27
(56)
[-0.361]
24.72
(84)
[-0.539]
20.81
(74)
[-0.524]
83.79
(80)
[0.504]
78.53
(78)
[0.543]
78.78
(78)
[0.540]
10.70
(72)
[-0.468]
81.94
(82)
[0.427]
5.28
(77)
[-0.285]
15.80
(68)
[-0.450]
81.12
(75)
[0.536]
7.23
(72)
[-0.445]
78.14
(77)
[0.618]
71.70
(75)
[0.598]
82.60
(76)
[0.578]
83.12
(77)
[0.565]
83.64
(83)
[0.513]
83.69
(87)
[0.420]
5.17
(81)
[-0.296]
 57.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  62.41 
 (149.06) 
 [-0.810] 
32.80
(154)
[-0.986]
5.09
(33)
[-0.664]
60.88
(187)
[2.339]
6.72
(66)
[-0.593]
5.49
(38)
[-0.654]
64.15
(185)
[1.993]
33.75
(133)
[0.117]
42.86
(175)
[-1.389]
58.83
(168)
[-0.993]
48.32
(187)
[-1.920]
41.17
(168)
[0.993]
14.68
(179)
[0.576]
49.78
(178)
[-1.450]
38.56
(172)
[-1.123]
15.41
(183)
[0.536]
51.48
(179)
[-1.473]
9.82
(36)
[-0.476]
7.30
(57)
[-0.359]
51.92
(166)
[1.073]
49.40
(171)
[1.186]
58.83
(168)
[-0.993]
56.03
(160)
[-0.804]
49.51
(167)
[-1.183]
23.30
(161)
[0.414]
51.68
(180)
[-1.432]
9.69
(157)
[0.043]
31.52
(171)
[0.680]
52.06
(175)
[-1.294]
34.55
(182)
[1.321]
39.53
(170)
[-1.388]
43.02
(166)
[-1.098]
57.23
(164)
[-0.974]
62.28
(161)
[-0.770]
46.38
(178)
[-1.579]
90.63
(5)
[0.845]
18.06
(186)
[0.647]
 58.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (143.72) 
 [-0.428] 
31.93
(156)
[-1.024]
53.27
(179)
[1.841]
11.24
(123)
[-0.201]
14.97
(126)
[-0.201]
16.91
(130)
[-0.111]
33.61
(151)
[0.521]
100.00
(189)
[2.413]
57.91
(151)
[-0.548]
63.51
(158)
[-0.712]
89.26
(74)
[0.488]
36.49
(158)
[0.712]
3.14
(110)
[-0.241]
68.41
(146)
[-0.384]
57.42
(149)
[-0.343]
4.86
(98)
[-0.227]
71.80
(141)
[-0.274]
16.04
(142)
[-0.044]
7.31
(58)
[-0.358]
48.88
(158)
[0.892]
40.15
(154)
[0.632]
63.51
(158)
[-0.712]
53.52
(166)
[-0.954]
59.43
(153)
[-0.599]
20.63
(150)
[0.227]
70.55
(141)
[-0.273]
10.20
(166)
[0.081]
19.02
(117)
[-0.218]
69.24
(146)
[-0.212]
15.27
(145)
[0.074]
53.30
(155)
[-0.672]
46.11
(158)
[-0.915]
61.88
(158)
[-0.689]
64.08
(157)
[-0.655]
75.46
(127)
[0.054]
57.53
(172)
[-1.182]
9.46
(154)
[0.018]
 59.  cbampis's GRPNMF   [large] 0 0 0 0  84.77 
 (78.14) 
 [0.464] 
67.46
(84)
[0.556]
17.70
(146)
[-0.008]
11.51
(126)
[-0.187]
5.92
(49)
[-0.631]
5.47
(36)
[-0.655]
10.43
(73)
[-0.596]
14.94
(83)
[-0.535]
76.94
(80)
[0.516]
83.41
(86)
[0.482]
87.33
(97)
[0.375]
16.59
(86)
[-0.482]
2.48
(84)
[-0.287]
83.52
(81)
[0.481]
77.69
(77)
[0.496]
4.71
(93)
[-0.238]
84.39
(81)
[0.470]
10.57
(52)
[-0.424]
7.32
(59)
[-0.358]
24.56
(78)
[-0.549]
21.30
(85)
[-0.495]
83.41
(86)
[0.482]
78.42
(83)
[0.537]
78.60
(81)
[0.529]
10.86
(78)
[-0.457]
81.74
(85)
[0.415]
5.23
(71)
[-0.288]
15.74
(61)
[-0.454]
81.22
(66)
[0.543]
7.16
(69)
[-0.450]
78.49
(69)
[0.636]
71.99
(70)
[0.615]
82.91
(69)
[0.597]
83.47
(69)
[0.587]
83.74
(81)
[0.519]
84.37
(76)
[0.462]
4.90
(63)
[-0.315]
 60.  cbampis's GRPNMF   [large] 0 0 0 0  84.77 
 (78.94) 
 [0.464] 
67.46
(85)
[0.556]
17.70
(145)
[-0.008]
11.51
(125)
[-0.187]
5.92
(49)
[-0.631]
5.47
(37)
[-0.655]
10.44
(74)
[-0.595]
14.93
(82)
[-0.535]
76.94
(81)
[0.515]
83.41
(87)
[0.482]
87.33
(98)
[0.375]
16.59
(87)
[-0.482]
2.48
(85)
[-0.287]
83.52
(82)
[0.481]
77.69
(78)
[0.496]
4.71
(94)
[-0.238]
84.39
(82)
[0.470]
10.57
(53)
[-0.424]
7.32
(60)
[-0.358]
24.56
(79)
[-0.549]
21.30
(86)
[-0.495]
83.41
(87)
[0.482]
78.42
(84)
[0.537]
78.60
(82)
[0.529]
10.86
(79)
[-0.457]
81.74
(86)
[0.415]
5.23
(72)
[-0.288]
15.75
(62)
[-0.453]
81.22
(67)
[0.543]
7.16
(70)
[-0.450]
78.49
(70)
[0.636]
71.99
(71)
[0.615]
82.91
(70)
[0.597]
83.47
(70)
[0.587]
83.74
(82)
[0.519]
84.37
(77)
[0.462]
4.90
(64)
[-0.315]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 61.  cbampis's GRPNMF   [large] 0 0 0 0  85.59 
 (64.97) 
 [0.509] 
70.49
(58)
[0.690]
15.93
(124)
[-0.100]
10.70
(118)
[-0.229]
5.70
(37)
[-0.642]
4.96
(26)
[-0.679]
9.49
(68)
[-0.641]
13.73
(71)
[-0.577]
78.48
(64)
[0.601]
84.89
(58)
[0.570]
87.79
(88)
[0.402]
15.11
(58)
[-0.570]
2.44
(82)
[-0.291]
84.91
(64)
[0.560]
79.48
(62)
[0.570]
4.35
(72)
[-0.263]
85.60
(64)
[0.541]
10.51
(49)
[-0.428]
7.34
(61)
[-0.356]
23.50
(65)
[-0.612]
20.33
(63)
[-0.554]
84.89
(58)
[0.570]
79.81
(55)
[0.620]
79.89
(63)
[0.605]
10.22
(58)
[-0.502]
83.70
(64)
[0.535]
5.15
(59)
[-0.294]
15.60
(58)
[-0.464]
81.59
(56)
[0.566]
7.04
(66)
[-0.458]
78.76
(63)
[0.651]
72.33
(62)
[0.635]
83.09
(64)
[0.608]
83.69
(60)
[0.601]
83.78
(79)
[0.521]
84.83
(61)
[0.490]
4.86
(61)
[-0.318]
 62.  cbampis's GRPNMF   [large] 0 0 0 0  85.20 
 (71.39) 
 [0.488] 
69.69
(63)
[0.655]
16.84
(135)
[-0.053]
11.69
(130)
[-0.178]
5.77
(41)
[-0.638]
5.08
(29)
[-0.674]
9.87
(71)
[-0.623]
15.01
(84)
[-0.533]
77.88
(69)
[0.568]
84.37
(66)
[0.539]
87.58
(92)
[0.390]
15.63
(66)
[-0.539]
2.56
(89)
[-0.282]
84.37
(68)
[0.530]
78.82
(65)
[0.543]
4.38
(74)
[-0.261]
85.12
(68)
[0.513]
10.79
(64)
[-0.409]
7.34
(62)
[-0.356]
23.98
(66)
[-0.583]
20.53
(67)
[-0.541]
84.37
(66)
[0.539]
79.28
(65)
[0.588]
79.42
(67)
[0.577]
10.46
(63)
[-0.485]
83.27
(68)
[0.508]
5.21
(65)
[-0.290]
15.66
(59)
[-0.460]
81.36
(62)
[0.551]
7.20
(71)
[-0.447]
78.39
(72)
[0.631]
72.03
(69)
[0.617]
82.83
(72)
[0.592]
83.40
(72)
[0.583]
83.38
(89)
[0.498]
84.61
(72)
[0.476]
5.00
(69)
[-0.308]
 63.  cbampis's GRPNMF   [large] 0 0 0 0  84.51 
 (83.50) 
 [0.449] 
67.73
(81)
[0.568]
18.30
(151)
[0.023]
12.54
(142)
[-0.134]
6.26
(53)
[-0.615]
5.78
(45)
[-0.641]
11.08
(85)
[-0.564]
15.54
(91)
[-0.514]
76.61
(85)
[0.497]
83.46
(82)
[0.485]
86.17
(109)
[0.307]
16.54
(82)
[-0.485]
2.73
(99)
[-0.270]
83.16
(85)
[0.460]
77.42
(81)
[0.485]
4.77
(96)
[-0.233]
83.94
(86)
[0.443]
10.52
(50)
[-0.428]
7.36
(63)
[-0.355]
24.70
(82)
[-0.540]
21.54
(90)
[-0.481]
83.46
(82)
[0.485]
78.54
(77)
[0.544]
78.48
(83)
[0.522]
10.81
(75)
[-0.461]
81.70
(87)
[0.412]
5.26
(75)
[-0.286]
16.02
(77)
[-0.434]
80.95
(78)
[0.526]
7.52
(80)
[-0.427]
77.93
(78)
[0.607]
71.57
(78)
[0.590]
82.55
(78)
[0.575]
83.22
(75)
[0.571]
83.12
(94)
[0.484]
84.71
(68)
[0.483]
5.27
(83)
[-0.288]
 64.  cbampis's GRPNMF   [large] 0 0 0 0  84.55 
 (82.53) 
 [0.452] 
67.89
(80)
[0.575]
19.13
(159)
[0.066]
12.60
(143)
[-0.132]
5.44
(29)
[-0.654]
4.74
(20)
[-0.690]
11.79
(90)
[-0.530]
15.71
(93)
[-0.509]
76.83
(83)
[0.509]
83.45
(83)
[0.484]
86.64
(107)
[0.334]
16.55
(83)
[-0.484]
2.63
(96)
[-0.277]
83.42
(83)
[0.475]
77.54
(80)
[0.490]
4.61
(92)
[-0.244]
84.19
(83)
[0.458]
10.80
(65)
[-0.408]
7.36
(64)
[-0.354]
24.66
(81)
[-0.543]
21.22
(82)
[-0.500]
83.45
(83)
[0.484]
78.43
(82)
[0.537]
78.62
(80)
[0.530]
10.78
(73)
[-0.463]
82.09
(81)
[0.436]
5.28
(78)
[-0.284]
15.96
(75)
[-0.438]
81.03
(76)
[0.530]
7.40
(78)
[-0.435]
77.88
(81)
[0.605]
71.39
(81)
[0.580]
82.43
(79)
[0.568]
83.05
(78)
[0.560]
83.15
(93)
[0.486]
84.26
(78)
[0.455]
5.10
(79)
[-0.300]
 65.  cbampis's GRPNMF   [large] 0 0 0 0  85.08 
 (74.33) 
 [0.481] 
69.84
(62)
[0.661]
16.61
(133)
[-0.065]
11.67
(129)
[-0.179]
5.90
(47)
[-0.632]
5.23
(31)
[-0.666]
10.54
(75)
[-0.590]
15.66
(92)
[-0.510]
77.80
(71)
[0.563]
84.29
(68)
[0.534]
87.25
(100)
[0.370]
15.71
(68)
[-0.534]
2.59
(90)
[-0.280]
84.28
(70)
[0.524]
78.69
(66)
[0.537]
4.42
(77)
[-0.259]
85.00
(71)
[0.505]
10.64
(56)
[-0.419]
7.36
(65)
[-0.354]
24.11
(72)
[-0.576]
20.83
(75)
[-0.524]
84.29
(68)
[0.534]
79.21
(67)
[0.584]
79.29
(68)
[0.570]
10.51
(65)
[-0.482]
83.00
(71)
[0.492]
5.24
(74)
[-0.287]
15.81
(69)
[-0.449]
81.21
(68)
[0.542]
7.30
(76)
[-0.441]
78.18
(75)
[0.620]
71.85
(74)
[0.607]
82.67
(74)
[0.582]
83.28
(74)
[0.575]
83.34
(90)
[0.496]
84.52
(74)
[0.471]
5.04
(71)
[-0.305]
 66.  felipecalderero's GSRM MARKOV sup. BHAT area-weighted  [normal] 0 0 1 0  84.57 
 (78.17) 
 [0.454] 
64.07
(89)
[0.405]
8.59
(53)
[-0.482]
6.49
(71)
[-0.444]
18.58
(136)
[-0.029]
17.64
(133)
[-0.076]
8.75
(55)
[-0.677]
9.29
(48)
[-0.731]
77.86
(70)
[0.567]
84.44
(65)
[0.543]
87.76
(89)
[0.400]
15.56
(65)
[-0.543]
2.92
(103)
[-0.256]
84.44
(66)
[0.534]
76.66
(88)
[0.453]
4.61
(91)
[-0.244]
85.25
(66)
[0.520]
14.13
(125)
[-0.177]
7.37
(66)
[-0.354]
24.16
(74)
[-0.573]
17.40
(42)
[-0.729]
84.44
(65)
[0.543]
79.29
(64)
[0.588]
79.28
(69)
[0.569]
11.18
(86)
[-0.435]
84.37
(59)
[0.576]
4.61
(33)
[-0.335]
15.78
(64)
[-0.451]
82.78
(45)
[0.641]
8.07
(88)
[-0.391]
76.36
(88)
[0.526]
70.63
(87)
[0.535]
81.52
(88)
[0.512]
81.77
(89)
[0.478]
81.91
(102)
[0.416]
82.14
(108)
[0.325]
5.32
(84)
[-0.285]
 67.  cbampis's GRPNMF   [large] 0 0 0 0  84.89 
 (78.11) 
 [0.470] 
68.50
(75)
[0.602]
17.60
(144)
[-0.014]
12.48
(139)
[-0.138]
5.82
(43)
[-0.635]
5.17
(30)
[-0.669]
10.58
(76)
[-0.588]
13.90
(76)
[-0.571]
77.22
(77)
[0.531]
83.90
(77)
[0.511]
86.88
(105)
[0.349]
16.10
(77)
[-0.511]
2.63
(95)
[-0.277]
83.73
(80)
[0.493]
77.99
(75)
[0.508]
4.56
(90)
[-0.248]
84.50
(80)
[0.476]
10.90
(70)
[-0.401]
7.42
(67)
[-0.350]
24.25
(76)
[-0.567]
20.77
(73)
[-0.527]
83.90
(77)
[0.511]
78.92
(74)
[0.567]
78.94
(77)
[0.549]
10.62
(69)
[-0.474]
82.11
(77)
[0.437]
5.23
(70)
[-0.289]
15.88
(71)
[-0.444]
81.14
(73)
[0.537]
7.32
(77)
[-0.440]
78.34
(73)
[0.629]
71.98
(72)
[0.615]
82.85
(71)
[0.594]
83.44
(71)
[0.585]
83.29
(92)
[0.494]
84.80
(66)
[0.488]
5.09
(77)
[-0.302]
 68.  cbampis's GRPNMF   [large] 0 0 0 0  84.40 
 (86.17) 
 [0.443] 
67.69
(82)
[0.565]
17.44
(142)
[-0.022]
12.66
(144)
[-0.129]
6.44
(60)
[-0.606]
5.88
(47)
[-0.636]
11.16
(86)
[-0.560]
15.40
(90)
[-0.519]
76.42
(86)
[0.486]
83.42
(85)
[0.482]
86.12
(110)
[0.304]
16.58
(85)
[-0.482]
2.80
(100)
[-0.265]
83.05
(87)
[0.454]
77.25
(83)
[0.478]
4.90
(100)
[-0.224]
83.86
(88)
[0.438]
10.74
(60)
[-0.412]
7.46
(68)
[-0.348]
24.93
(86)
[-0.527]
21.64
(91)
[-0.475]
83.42
(85)
[0.482]
78.45
(81)
[0.538]
78.25
(86)
[0.508]
10.92
(83)
[-0.453]
81.57
(89)
[0.404]
5.30
(79)
[-0.283]
16.29
(82)
[-0.415]
80.75
(81)
[0.513]
7.66
(82)
[-0.418]
77.63
(82)
[0.592]
71.28
(83)
[0.573]
82.33
(82)
[0.561]
83.01
(80)
[0.558]
82.68
(95)
[0.459]
84.78
(67)
[0.487]
5.33
(85)
[-0.284]
 69.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.94 
 (52.00) 
 [0.582] 
72.90
(47)
[0.797]
16.83
(134)
[-0.054]
6.35
(68)
[-0.451]
5.73
(38)
[-0.640]
5.70
(43)
[-0.644]
7.88
(43)
[-0.719]
7.58
(36)
[-0.790]
80.61
(48)
[0.721]
86.05
(48)
[0.640]
90.90
(56)
[0.585]
13.95
(48)
[-0.640]
1.80
(45)
[-0.335]
87.08
(49)
[0.684]
81.82
(49)
[0.667]
4.16
(62)
[-0.277]
87.75
(49)
[0.668]
10.14
(42)
[-0.454]
7.48
(69)
[-0.346]
21.86
(49)
[-0.709]
19.20
(54)
[-0.621]
86.05
(48)
[0.640]
80.59
(50)
[0.666]
81.43
(49)
[0.696]
9.59
(46)
[-0.546]
85.14
(50)
[0.623]
4.89
(48)
[-0.314]
15.08
(53)
[-0.501]
82.48
(48)
[0.622]
6.19
(44)
[-0.513]
80.81
(46)
[0.757]
74.26
(47)
[0.749]
84.74
(46)
[0.709]
85.09
(46)
[0.691]
87.18
(44)
[0.712]
83.71
(86)
[0.421]
4.32
(44)
[-0.358]
 70.  cbampis's GRPNMF   [large] 0 0 0 0  84.07 
 (90.53) 
 [0.423] 
66.95
(86)
[0.533]
18.06
(149)
[0.011]
11.95
(136)
[-0.165]
6.79
(68)
[-0.589]
6.26
(59)
[-0.617]
11.81
(91)
[-0.529]
14.77
(80)
[-0.541]
76.17
(89)
[0.472]
83.09
(89)
[0.462]
86.06
(111)
[0.300]
16.91
(89)
[-0.462]
2.82
(101)
[-0.263]
82.85
(90)
[0.442]
76.94
(86)
[0.465]
5.03
(111)
[-0.214]
83.67
(90)
[0.427]
10.97
(73)
[-0.396]
7.50
(70)
[-0.344]
25.49
(88)
[-0.494]
22.03
(92)
[-0.452]
83.09
(89)
[0.462]
78.05
(87)
[0.515]
77.80
(90)
[0.482]
11.18
(87)
[-0.435]
81.21
(92)
[0.382]
5.44
(86)
[-0.273]
16.60
(86)
[-0.392]
79.84
(88)
[0.456]
8.31
(89)
[-0.376]
76.90
(86)
[0.554]
70.71
(86)
[0.540]
81.78
(87)
[0.528]
82.52
(85)
[0.527]
82.45
(100)
[0.446]
84.25
(79)
[0.455]
5.72
(94)
[-0.255]
 71.  th's texture2015   [large] 0 0 0 0  85.00 
 (74.81) 
 [0.476] 
69.02
(68)
[0.625]
17.30
(141)
[-0.029]
11.85
(132)
[-0.170]
6.28
(54)
[-0.614]
5.66
(42)
[-0.646]
10.79
(80)
[-0.578]
13.75
(72)
[-0.576]
77.50
(72)
[0.547]
84.11
(69)
[0.524]
86.89
(102)
[0.349]
15.89
(69)
[-0.524]
2.60
(91)
[-0.279]
83.99
(75)
[0.508]
78.25
(71)
[0.519]
4.51
(86)
[-0.252]
84.71
(78)
[0.489]
10.81
(66)
[-0.407]
7.51
(71)
[-0.344]
24.06
(67)
[-0.579]
20.75
(70)
[-0.528]
84.11
(69)
[0.524]
79.12
(71)
[0.578]
79.13
(72)
[0.560]
10.55
(66)
[-0.479]
82.11
(78)
[0.437]
5.21
(66)
[-0.290]
15.94
(72)
[-0.439]
81.15
(70)
[0.538]
7.26
(73)
[-0.444]
78.53
(66)
[0.639]
72.19
(65)
[0.627]
83.01
(66)
[0.603]
83.58
(64)
[0.595]
83.57
(84)
[0.509]
84.81
(63)
[0.489]
5.06
(72)
[-0.304]
 72.  cbampis's GRPNMF   [large] 0 0 0 0  85.00 
 (75.17) 
 [0.476] 
69.02
(69)
[0.625]
17.30
(139)
[-0.029]
11.85
(132)
[-0.170]
6.28
(54)
[-0.614]
5.66
(40)
[-0.646]
10.79
(81)
[-0.578]
13.75
(73)
[-0.576]
77.50
(72)
[0.547]
84.11
(69)
[0.524]
86.89
(104)
[0.349]
15.89
(69)
[-0.524]
2.60
(93)
[-0.279]
83.99
(75)
[0.508]
78.25
(69)
[0.519]
4.51
(85)
[-0.252]
84.71
(78)
[0.489]
10.81
(67)
[-0.407]
7.51
(72)
[-0.344]
24.06
(67)
[-0.579]
20.75
(71)
[-0.528]
84.11
(69)
[0.524]
79.12
(71)
[0.578]
79.13
(72)
[0.560]
10.55
(66)
[-0.479]
82.11
(79)
[0.437]
5.21
(67)
[-0.290]
15.94
(73)
[-0.439]
81.15
(71)
[0.538]
7.26
(74)
[-0.444]
78.53
(67)
[0.639]
72.19
(66)
[0.627]
83.01
(66)
[0.603]
83.58
(65)
[0.595]
83.57
(84)
[0.509]
84.81
(63)
[0.489]
5.06
(74)
[-0.304]
 73.  cbampis's GRPNMF   [large] 0 0 0 0  85.00 
 (75.08) 
 [0.476] 
69.02
(69)
[0.625]
17.30
(139)
[-0.029]
11.85
(132)
[-0.170]
6.28
(54)
[-0.614]
5.66
(41)
[-0.646]
10.79
(79)
[-0.578]
13.75
(73)
[-0.576]
77.50
(72)
[0.547]
84.11
(69)
[0.524]
86.89
(102)
[0.349]
15.89
(69)
[-0.524]
2.60
(92)
[-0.279]
83.99
(74)
[0.508]
78.25
(69)
[0.519]
4.51
(84)
[-0.252]
84.71
(77)
[0.489]
10.81
(67)
[-0.407]
7.51
(73)
[-0.344]
24.06
(67)
[-0.579]
20.75
(71)
[-0.528]
84.11
(69)
[0.524]
79.12
(71)
[0.578]
79.13
(72)
[0.560]
10.55
(66)
[-0.479]
82.11
(79)
[0.437]
5.21
(68)
[-0.290]
15.94
(73)
[-0.439]
81.15
(71)
[0.538]
7.26
(75)
[-0.444]
78.53
(67)
[0.639]
72.19
(66)
[0.627]
83.01
(66)
[0.603]
83.58
(65)
[0.595]
83.57
(84)
[0.509]
84.81
(65)
[0.489]
5.06
(73)
[-0.304]
 74.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (82.36) 
 [0.445] 
69.24
(66)
[0.635]
12.28
(91)
[-0.290]
17.03
(153)
[0.095]
7.71
(74)
[-0.546]
6.89
(66)
[-0.588]
11.66
(89)
[-0.536]
11.71
(60)
[-0.647]
76.32
(87)
[0.481]
84.05
(73)
[0.520]
84.15
(118)
[0.188]
15.95
(73)
[-0.520]
3.29
(112)
[-0.230]
82.53
(92)
[0.424]
77.11
(85)
[0.472]
5.00
(108)
[-0.216]
83.26
(93)
[0.403]
10.75
(61)
[-0.411]
7.52
(74)
[-0.343]
24.10
(70)
[-0.576]
20.87
(77)
[-0.521]
84.05
(73)
[0.520]
79.66
(58)
[0.611]
78.46
(84)
[0.521]
10.68
(71)
[-0.470]
80.37
(98)
[0.331]
5.17
(62)
[-0.293]
16.53
(85)
[-0.397]
80.60
(83)
[0.504]
7.88
(84)
[-0.403]
77.38
(83)
[0.579]
71.30
(82)
[0.574]
82.36
(81)
[0.563]
82.95
(83)
[0.554]
80.29
(105)
[0.325]
86.86
(43)
[0.614]
4.99
(68)
[-0.309]
 75.  cbampis's GRPNMF   [large] 0 0 0 0  84.06 
 (88.69) 
 [0.425] 
66.55
(88)
[0.515]
18.89
(158)
[0.053]
10.39
(117)
[-0.245]
6.34
(58)
[-0.611]
5.97
(51)
[-0.631]
11.87
(93)
[-0.526]
18.45
(104)
[-0.414]
76.30
(88)
[0.479]
82.56
(91)
[0.431]
87.46
(95)
[0.383]
17.44
(91)
[-0.431]
2.44
(81)
[-0.291]
82.99
(88)
[0.450]
76.75
(87)
[0.457]
4.96
(107)
[-0.220]
83.93
(87)
[0.443]
10.94
(71)
[-0.398]
7.56
(75)
[-0.340]
25.58
(89)
[-0.488]
22.20
(93)
[-0.441]
82.56
(91)
[0.431]
77.30
(91)
[0.469]
77.88
(88)
[0.487]
11.42
(88)
[-0.418]
81.44
(90)
[0.396]
5.46
(87)
[-0.272]
16.18
(80)
[-0.422]
80.50
(84)
[0.497]
7.82
(83)
[-0.407]
77.14
(85)
[0.567]
70.78
(85)
[0.544]
81.84
(86)
[0.531]
82.56
(84)
[0.529]
83.78
(80)
[0.521]
82.89
(97)
[0.371]
5.22
(82)
[-0.292]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 76.  cbampis's GRPNMF   [large] 0 0 0 0  84.71 
 (79.72) 
 [0.462] 
67.98
(79)
[0.579]
18.52
(154)
[0.034]
10.12
(113)
[-0.259]
6.33
(57)
[-0.612]
6.19
(57)
[-0.621]
9.36
(65)
[-0.647]
19.34
(111)
[-0.383]
77.20
(78)
[0.530]
83.33
(88)
[0.477]
88.55
(78)
[0.446]
16.67
(88)
[-0.477]
2.09
(64)
[-0.315]
83.96
(77)
[0.506]
78.02
(74)
[0.510]
4.49
(82)
[-0.253]
84.89
(73)
[0.499]
10.84
(69)
[-0.405]
7.58
(76)
[-0.339]
24.76
(85)
[-0.537]
21.50
(89)
[-0.483]
83.33
(88)
[0.477]
78.11
(86)
[0.518]
78.65
(79)
[0.532]
11.01
(84)
[-0.447]
82.32
(76)
[0.450]
5.34
(81)
[-0.280]
15.78
(65)
[-0.451]
81.25
(65)
[0.545]
6.91
(62)
[-0.466]
78.42
(71)
[0.633]
71.65
(76)
[0.595]
82.64
(75)
[0.581]
83.21
(76)
[0.571]
85.22
(63)
[0.602]
82.40
(104)
[0.341]
4.89
(62)
[-0.316]
 77.  cbampis's GRPNMF   [large] 0 0 0 0  84.86 
 (76.50) 
 [0.471] 
68.59
(73)
[0.606]
18.61
(156)
[0.039]
10.89
(120)
[-0.219]
6.58
(63)
[-0.600]
5.93
(49)
[-0.633]
10.91
(83)
[-0.572]
17.80
(100)
[-0.436]
77.49
(75)
[0.546]
83.87
(79)
[0.509]
87.48
(94)
[0.384]
16.13
(79)
[-0.509]
2.43
(79)
[-0.291]
84.08
(72)
[0.513]
78.25
(72)
[0.519]
4.40
(76)
[-0.260]
84.84
(74)
[0.496]
10.72
(59)
[-0.414]
7.61
(77)
[-0.337]
24.13
(73)
[-0.574]
21.02
(80)
[-0.512]
83.87
(79)
[0.509]
78.76
(75)
[0.557]
79.09
(75)
[0.558]
10.66
(70)
[-0.471]
82.42
(74)
[0.456]
5.24
(73)
[-0.288]
15.71
(60)
[-0.456]
81.30
(64)
[0.547]
7.05
(67)
[-0.457]
78.68
(65)
[0.646]
72.14
(68)
[0.624]
83.03
(65)
[0.604]
83.60
(63)
[0.596]
84.26
(72)
[0.548]
84.15
(81)
[0.449]
5.01
(70)
[-0.307]
 78.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.74 
 (47.42) 
 [0.634] 
76.58
(36)
[0.961]
14.36
(110)
[-0.182]
7.97
(91)
[-0.369]
5.83
(44)
[-0.635]
6.09
(55)
[-0.625]
7.80
(41)
[-0.722]
15.73
(94)
[-0.508]
82.57
(39)
[0.830]
88.56
(33)
[0.790]
90.34
(64)
[0.552]
11.44
(33)
[-0.790]
2.39
(78)
[-0.294]
88.46
(37)
[0.764]
84.00
(37)
[0.757]
3.16
(48)
[-0.349]
88.94
(39)
[0.738]
10.56
(51)
[-0.425]
7.64
(78)
[-0.335]
19.87
(36)
[-0.827]
16.96
(38)
[-0.755]
88.56
(33)
[0.790]
82.98
(34)
[0.809]
83.51
(35)
[0.818]
8.63
(32)
[-0.613]
88.31
(33)
[0.818]
4.74
(41)
[-0.325]
14.31
(33)
[-0.556]
82.46
(49)
[0.621]
6.41
(50)
[-0.498]
81.43
(42)
[0.789]
76.11
(34)
[0.859]
85.55
(35)
[0.759]
85.88
(35)
[0.742]
85.34
(61)
[0.609]
87.12
(38)
[0.631]
4.24
(40)
[-0.364]
 79.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.40 
 (57.67) 
 [0.555] 
71.10
(53)
[0.717]
16.56
(132)
[-0.068]
7.11
(82)
[-0.412]
6.36
(59)
[-0.610]
6.69
(65)
[-0.597]
9.26
(62)
[-0.652]
11.49
(58)
[-0.655]
80.10
(52)
[0.692]
85.51
(53)
[0.608]
90.85
(59)
[0.582]
14.49
(53)
[-0.608]
1.88
(51)
[-0.330]
86.69
(51)
[0.662]
81.28
(51)
[0.645]
4.03
(59)
[-0.286]
87.40
(52)
[0.647]
10.17
(44)
[-0.452]
7.67
(79)
[-0.333]
22.46
(51)
[-0.673]
19.96
(58)
[-0.576]
85.51
(53)
[0.608]
79.90
(54)
[0.625]
80.96
(52)
[0.668]
9.89
(50)
[-0.525]
85.10
(52)
[0.621]
5.01
(53)
[-0.305]
15.18
(54)
[-0.494]
82.25
(53)
[0.607]
6.33
(48)
[-0.504]
80.24
(49)
[0.727]
73.61
(49)
[0.711]
84.21
(49)
[0.676]
84.59
(49)
[0.659]
87.04
(46)
[0.704]
82.93
(96)
[0.373]
4.37
(45)
[-0.354]
 80.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  90.20 
 (23.81) 
 [0.770] 
82.38
(13)
[1.219]
12.24
(90)
[-0.292]
1.68
(26)
[-0.690]
6.65
(65)
[-0.596]
7.09
(70)
[-0.578]
7.16
(29)
[-0.753]
7.20
(33)
[-0.804]
86.46
(11)
[1.047]
91.19
(19)
[0.948]
93.96
(10)
[0.765]
8.81
(19)
[-0.948]
1.43
(14)
[-0.362]
91.96
(13)
[0.964]
87.93
(12)
[0.920]
2.02
(9)
[-0.431]
92.26
(13)
[0.934]
10.29
(45)
[-0.443]
7.67
(80)
[-0.333]
16.72
(20)
[-1.014]
14.09
(19)
[-0.927]
91.19
(19)
[0.948]
85.60
(24)
[0.966]
86.66
(11)
[1.003]
7.32
(13)
[-0.705]
90.61
(12)
[0.959]
4.30
(21)
[-0.357]
13.08
(21)
[-0.645]
84.81
(16)
[0.769]
4.52
(7)
[-0.621]
85.33
(8)
[0.992]
79.69
(13)
[1.071]
88.17
(10)
[0.919]
88.26
(12)
[0.894]
89.23
(13)
[0.827]
87.49
(32)
[0.653]
3.56
(15)
[-0.414]
 81.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (75.47) 
 [0.477] 
69.50
(64)
[0.646]
16.05
(126)
[-0.094]
9.90
(110)
[-0.270]
5.74
(39)
[-0.639]
5.89
(48)
[-0.635]
10.33
(72)
[-0.601]
18.35
(103)
[-0.417]
77.92
(68)
[0.570]
84.00
(75)
[0.517]
88.41
(79)
[0.439]
16.00
(75)
[-0.517]
2.26
(71)
[-0.303]
84.39
(67)
[0.531]
78.57
(68)
[0.532]
4.34
(71)
[-0.264]
85.24
(67)
[0.520]
10.61
(54)
[-0.421]
7.69
(81)
[-0.332]
24.22
(75)
[-0.569]
21.30
(84)
[-0.496]
84.00
(75)
[0.517]
78.67
(76)
[0.552]
79.21
(70)
[0.565]
10.80
(74)
[-0.461]
83.08
(70)
[0.497]
5.39
(84)
[-0.276]
15.83
(70)
[-0.448]
81.02
(77)
[0.530]
7.42
(79)
[-0.433]
77.88
(80)
[0.605]
71.59
(77)
[0.592]
82.22
(83)
[0.555]
82.96
(82)
[0.555]
83.80
(78)
[0.522]
83.76
(85)
[0.424]
4.73
(60)
[-0.328]
 82.  cbampis's GRPNMF   [large] 0 0 0 0  85.05 
 (75.50) 
 [0.480] 
68.65
(72)
[0.608]
17.23
(138)
[-0.033]
9.28
(102)
[-0.301]
6.25
(52)
[-0.615]
6.41
(62)
[-0.610]
8.83
(56)
[-0.673]
17.06
(98)
[-0.462]
77.97
(67)
[0.573]
83.87
(78)
[0.509]
89.37
(71)
[0.495]
16.13
(78)
[-0.509]
2.05
(61)
[-0.318]
84.65
(65)
[0.545]
78.92
(63)
[0.547]
4.32
(69)
[-0.265]
85.58
(65)
[0.540]
10.94
(72)
[-0.398]
7.78
(82)
[-0.325]
24.34
(77)
[-0.562]
21.18
(81)
[-0.503]
83.87
(78)
[0.509]
78.50
(80)
[0.541]
79.13
(71)
[0.561]
10.88
(81)
[-0.456]
83.48
(66)
[0.521]
5.39
(83)
[-0.277]
15.80
(67)
[-0.450]
81.19
(69)
[0.540]
7.01
(64)
[-0.460]
78.17
(76)
[0.620]
71.52
(79)
[0.588]
82.42
(80)
[0.567]
83.04
(79)
[0.559]
85.03
(64)
[0.591]
82.35
(105)
[0.338]
4.98
(67)
[-0.309]
 83.  th's texture2015   [large] 0 0 0 0  83.11 
 (56.31) 
 [0.426] 
72.98
(46)
[0.801]
64.97
(187)
[2.450]
6.52
(72)
[-0.442]
4.10
(10)
[-0.717]
4.33
(10)
[-0.709]
9.56
(69)
[-0.638]
95.29
(183)
[2.250]
80.28
(50)
[0.702]
85.57
(51)
[0.611]
92.08
(39)
[0.654]
14.43
(51)
[-0.611]
1.59
(29)
[-0.351]
86.89
(50)
[0.673]
81.48
(50)
[0.653]
2.39
(24)
[-0.405]
87.55
(50)
[0.656]
10.41
(47)
[-0.435]
7.78
(83)
[-0.325]
22.71
(53)
[-0.659]
20.09
(61)
[-0.568]
85.57
(51)
[0.611]
79.70
(57)
[0.613]
81.13
(51)
[0.678]
9.86
(49)
[-0.527]
84.52
(56)
[0.585]
5.16
(60)
[-0.294]
10.36
(4)
[-0.841]
81.76
(55)
[0.577]
6.28
(45)
[-0.507]
80.32
(48)
[0.732]
73.52
(52)
[0.705]
84.21
(48)
[0.677]
84.61
(48)
[0.660]
87.29
(41)
[0.718]
82.75
(100)
[0.363]
4.44
(47)
[-0.349]
 84.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.89 
 (46.28) 
 [0.640] 
77.06
(34)
[0.982]
13.92
(106)
[-0.205]
7.24
(85)
[-0.406]
6.96
(69)
[-0.582]
7.39
(71)
[-0.564]
7.43
(33)
[-0.740]
12.43
(62)
[-0.622]
82.80
(37)
[0.843]
88.75
(32)
[0.802]
90.41
(63)
[0.556]
11.25
(32)
[-0.802]
2.34
(73)
[-0.297]
88.70
(36)
[0.777]
84.28
(34)
[0.769]
3.08
(43)
[-0.355]
89.13
(36)
[0.749]
10.64
(57)
[-0.419]
7.79
(84)
[-0.325]
19.72
(34)
[-0.836]
16.86
(37)
[-0.761]
88.75
(32)
[0.802]
83.13
(33)
[0.819]
83.66
(34)
[0.827]
8.58
(31)
[-0.617]
88.49
(32)
[0.829]
4.73
(40)
[-0.325]
14.40
(35)
[-0.550]
82.55
(47)
[0.626]
6.34
(49)
[-0.503]
81.53
(38)
[0.794]
76.01
(35)
[0.853]
85.57
(34)
[0.760]
85.89
(34)
[0.742]
85.49
(59)
[0.617]
86.97
(41)
[0.621]
4.10
(34)
[-0.374]
 85.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  88.05 
 (42.58) 
 [0.650] 
77.09
(33)
[0.984]
14.80
(115)
[-0.159]
4.59
(43)
[-0.541]
6.48
(61)
[-0.604]
7.49
(72)
[-0.559]
8.01
(46)
[-0.712]
12.66
(66)
[-0.614]
83.19
(34)
[0.865]
88.21
(36)
[0.769]
92.08
(40)
[0.654]
11.79
(36)
[-0.769]
1.68
(39)
[-0.344]
89.13
(33)
[0.802]
84.17
(36)
[0.764]
3.08
(42)
[-0.355]
89.62
(33)
[0.779]
10.41
(48)
[-0.435]
7.84
(85)
[-0.321]
19.87
(35)
[-0.827]
17.30
(41)
[-0.735]
88.21
(36)
[0.769]
82.40
(38)
[0.775]
83.84
(32)
[0.837]
8.85
(34)
[-0.598]
87.99
(34)
[0.798]
4.71
(38)
[-0.327]
14.12
(28)
[-0.570]
83.41
(34)
[0.680]
5.55
(32)
[-0.554]
82.41
(33)
[0.840]
76.24
(33)
[0.867]
85.88
(33)
[0.779]
86.18
(32)
[0.761]
88.35
(24)
[0.778]
84.62
(71)
[0.477]
3.95
(27)
[-0.385]
 86.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (99.44) 
 [0.226] 
56.96
(101)
[0.089]
32.75
(171)
[0.774]
6.74
(75)
[-0.431]
7.45
(72)
[-0.558]
7.05
(69)
[-0.580]
15.50
(105)
[-0.351]
38.33
(141)
[0.276]
72.29
(98)
[0.256]
77.63
(110)
[0.135]
90.76
(60)
[0.576]
22.37
(110)
[-0.135]
1.70
(40)
[-0.343]
80.75
(98)
[0.322]
72.92
(97)
[0.298]
4.90
(101)
[-0.224]
82.35
(97)
[0.349]
11.72
(90)
[-0.344]
7.91
(86)
[-0.316]
31.90
(108)
[-0.114]
28.09
(115)
[-0.089]
77.63
(110)
[0.135]
70.77
(111)
[0.078]
73.29
(103)
[0.217]
13.96
(100)
[-0.240]
80.10
(100)
[0.314]
6.64
(109)
[-0.184]
17.51
(96)
[-0.327]
78.28
(99)
[0.357]
8.61
(93)
[-0.356]
71.79
(99)
[0.288]
64.05
(104)
[0.146]
76.75
(103)
[0.220]
77.95
(100)
[0.234]
86.18
(54)
[0.656]
72.30
(152)
[-0.277]
6.37
(103)
[-0.208]
 87.  th's texture2015   [large] 0 0 0 0  75.46 
 (127.64) 
 [-0.042] 
46.80
(129)
[-0.363]
18.55
(155)
[0.036]
27.75
(165)
[0.644]
13.09
(112)
[-0.290]
12.61
(105)
[-0.316]
23.05
(131)
[0.013]
50.11
(157)
[0.684]
63.86
(135)
[-0.216]
74.17
(125)
[-0.072]
77.14
(143)
[-0.224]
25.83
(125)
[0.072]
5.53
(149)
[-0.072]
71.58
(136)
[-0.202]
63.78
(126)
[-0.080]
7.26
(146)
[-0.053]
73.18
(137)
[-0.192]
13.46
(115)
[-0.223]
7.93
(87)
[-0.314]
35.57
(127)
[0.103]
30.04
(127)
[0.028]
74.17
(125)
[-0.072]
68.90
(117)
[-0.034]
67.72
(127)
[-0.111]
15.90
(117)
[-0.104]
73.04
(134)
[-0.120]
6.89
(112)
[-0.165]
19.07
(118)
[-0.215]
73.90
(126)
[0.082]
13.50
(135)
[-0.040]
64.48
(128)
[-0.092]
58.89
(128)
[-0.159]
72.62
(123)
[-0.032]
73.98
(121)
[-0.021]
68.14
(146)
[-0.357]
82.79
(98)
[0.365]
6.57
(108)
[-0.193]
 88.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  89.81 
 (29.89) 
 [0.746] 
82.31
(14)
[1.216]
12.21
(89)
[-0.294]
1.90
(27)
[-0.679]
7.47
(73)
[-0.557]
7.82
(73)
[-0.543]
7.15
(28)
[-0.754]
6.67
(23)
[-0.822]
85.88
(21)
[1.015]
90.80
(24)
[0.925]
93.73
(13)
[0.751]
9.20
(24)
[-0.925]
1.54
(22)
[-0.354]
91.54
(18)
[0.940]
87.32
(21)
[0.895]
2.26
(22)
[-0.415]
91.89
(18)
[0.912]
10.76
(62)
[-0.411]
7.96
(88)
[-0.313]
17.31
(26)
[-0.978]
14.51
(24)
[-0.902]
90.80
(24)
[0.925]
85.02
(27)
[0.932]
86.08
(20)
[0.969]
7.63
(19)
[-0.684]
90.11
(23)
[0.928]
4.42
(28)
[-0.349]
13.56
(26)
[-0.611]
84.29
(24)
[0.736]
4.85
(16)
[-0.599]
84.53
(19)
[0.950]
78.84
(22)
[1.020]
87.60
(22)
[0.884]
87.70
(20)
[0.858]
88.36
(23)
[0.778]
87.21
(36)
[0.636]
3.62
(17)
[-0.409]
 89.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (129.94) 
 [-0.143] 
43.22
(141)
[-0.522]
49.27
(174)
[1.633]
16.55
(152)
[0.070]
10.30
(89)
[-0.423]
12.56
(104)
[-0.318]
21.99
(128)
[-0.039]
87.38
(175)
[1.976]
64.51
(132)
[-0.179]
71.00
(139)
[-0.263]
90.14
(67)
[0.540]
29.00
(139)
[0.263]
3.79
(125)
[-0.195]
73.90
(132)
[-0.070]
64.47
(124)
[-0.051]
4.55
(89)
[-0.249]
76.51
(127)
[0.004]
15.32
(133)
[-0.094]
7.98
(89)
[-0.311]
40.43
(141)
[0.392]
33.09
(135)
[0.210]
71.00
(139)
[-0.263]
61.68
(148)
[-0.466]
67.03
(131)
[-0.152]
16.87
(124)
[-0.036]
76.79
(117)
[0.111]
8.38
(146)
[-0.054]
16.76
(90)
[-0.380]
72.32
(133)
[-0.018]
13.51
(136)
[-0.039]
61.60
(135)
[-0.241]
55.09
(142)
[-0.384]
69.68
(136)
[-0.212]
71.15
(139)
[-0.202]
77.54
(115)
[0.171]
67.86
(162)
[-0.549]
9.08
(150)
[-0.009]
 90.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.36 
 (50.67) 
 [0.611] 
75.57
(40)
[0.916]
15.69
(121)
[-0.113]
5.09
(52)
[-0.516]
8.47
(77)
[-0.510]
8.88
(82)
[-0.493]
8.48
(54)
[-0.689]
14.27
(78)
[-0.558]
82.23
(40)
[0.811]
87.77
(42)
[0.743]
91.83
(44)
[0.640]
12.23
(42)
[-0.743]
1.99
(58)
[-0.322]
88.42
(39)
[0.761]
83.50
(40)
[0.737]
3.08
(41)
[-0.355]
89.06
(37)
[0.745]
11.11
(75)
[-0.387]
8.04
(90)
[-0.307]
20.78
(41)
[-0.773]
17.72
(46)
[-0.710]
87.77
(42)
[0.743]
81.85
(41)
[0.742]
82.89
(39)
[0.782]
9.26
(39)
[-0.569]
86.91
(40)
[0.732]
4.89
(47)
[-0.314]
14.40
(36)
[-0.550]
82.65
(46)
[0.633]
5.94
(38)
[-0.529]
81.45
(41)
[0.791]
75.44
(39)
[0.819]
85.20
(41)
[0.737]
85.44
(43)
[0.713]
86.22
(53)
[0.658]
85.16
(59)
[0.510]
4.24
(41)
[-0.363]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 91.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  71.98 
 (135.47) 
 [-0.214] 
43.45
(139)
[-0.512]
53.19
(178)
[1.837]
20.28
(159)
[0.261]
9.91
(86)
[-0.442]
10.51
(89)
[-0.416]
23.45
(133)
[0.032]
94.14
(180)
[2.210]
61.73
(139)
[-0.335]
69.76
(143)
[-0.337]
85.89
(113)
[0.290]
30.24
(143)
[0.337]
4.57
(140)
[-0.140]
70.86
(139)
[-0.243]
61.75
(133)
[-0.164]
4.92
(103)
[-0.222]
73.58
(136)
[-0.169]
15.38
(134)
[-0.090]
8.12
(91)
[-0.301]
40.90
(145)
[0.420]
33.65
(137)
[0.244]
69.76
(143)
[-0.337]
61.81
(147)
[-0.458]
65.03
(138)
[-0.269]
17.53
(131)
[0.010]
74.26
(130)
[-0.045]
8.36
(144)
[-0.056]
16.98
(93)
[-0.365]
71.89
(134)
[-0.045]
14.09
(142)
[-0.002]
60.29
(139)
[-0.309]
53.89
(144)
[-0.455]
68.74
(141)
[-0.270]
70.28
(144)
[-0.257]
73.30
(137)
[-0.068]
70.54
(158)
[-0.385]
9.34
(152)
[0.010]
 92.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.12 
 (60.89) 
 [0.535] 
71.78
(51)
[0.748]
13.49
(101)
[-0.227]
10.31
(115)
[-0.249]
4.42
(15)
[-0.702]
4.53
(12)
[-0.700]
9.49
(67)
[-0.641]
9.44
(52)
[-0.726]
79.09
(59)
[0.635]
85.51
(52)
[0.608]
88.21
(82)
[0.427]
14.49
(52)
[-0.608]
2.18
(69)
[-0.309]
85.64
(60)
[0.602]
80.14
(58)
[0.598]
4.19
(63)
[-0.275]
86.23
(61)
[0.578]
11.22
(80)
[-0.379]
8.16
(92)
[-0.299]
22.83
(54)
[-0.651]
19.77
(57)
[-0.587]
85.51
(52)
[0.608]
80.08
(53)
[0.636]
80.47
(56)
[0.639]
10.09
(54)
[-0.511]
83.56
(65)
[0.526]
5.13
(58)
[-0.296]
16.18
(81)
[-0.422]
81.45
(59)
[0.557]
6.55
(54)
[-0.489]
79.70
(53)
[0.699]
72.98
(58)
[0.674]
83.83
(55)
[0.653]
84.16
(57)
[0.631]
84.17
(74)
[0.543]
84.81
(62)
[0.489]
4.47
(49)
[-0.347]
 93.  th's texture2015   [large] 0 0 0 0  75.53 
 (121.17) 
 [-0.011] 
47.94
(124)
[-0.312]
28.97
(165)
[0.578]
17.74
(154)
[0.131]
12.78
(110)
[-0.305]
14.11
(121)
[-0.244]
19.87
(125)
[-0.141]
91.15
(177)
[2.107]
66.47
(122)
[-0.069]
73.76
(130)
[-0.097]
86.62
(108)
[0.333]
26.24
(130)
[0.097]
3.49
(118)
[-0.216]
74.90
(125)
[-0.012]
66.84
(118)
[0.047]
4.32
(68)
[-0.265]
77.02
(124)
[0.035]
14.78
(130)
[-0.131]
8.20
(93)
[-0.296]
36.01
(128)
[0.130]
29.43
(124)
[-0.009]
73.76
(130)
[-0.097]
66.61
(134)
[-0.171]
69.02
(120)
[-0.034]
16.09
(119)
[-0.091]
76.10
(121)
[0.068]
7.48
(134)
[-0.121]
15.23
(55)
[-0.490]
75.05
(120)
[0.154]
10.86
(116)
[-0.211]
67.12
(117)
[0.046]
60.27
(120)
[-0.078]
73.79
(116)
[0.039]
74.67
(117)
[0.024]
75.89
(122)
[0.078]
75.26
(140)
[-0.096]
5.43
(87)
[-0.276]
 94.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  80.45 
 (109.06) 
 [0.217] 
60.10
(98)
[0.228]
13.71
(104)
[-0.216]
19.52
(157)
[0.223]
8.56
(78)
[-0.505]
8.33
(77)
[-0.519]
17.66
(112)
[-0.247]
18.93
(108)
[-0.397]
70.66
(110)
[0.164]
79.10
(104)
[0.223]
81.69
(131)
[0.043]
20.90
(104)
[-0.223]
5.15
(142)
[-0.099]
77.92
(113)
[0.161]
70.61
(106)
[0.203]
6.63
(135)
[-0.098]
79.07
(115)
[0.156]
13.50
(117)
[-0.220]
8.26
(94)
[-0.292]
30.02
(101)
[-0.225]
24.77
(104)
[-0.288]
79.10
(104)
[0.223]
73.70
(100)
[0.254]
73.31
(102)
[0.218]
13.57
(98)
[-0.268]
78.65
(106)
[0.225]
6.13
(103)
[-0.222]
19.16
(121)
[-0.208]
75.30
(115)
[0.170]
11.76
(129)
[-0.153]
70.00
(107)
[0.195]
65.68
(99)
[0.242]
77.53
(99)
[0.268]
78.49
(98)
[0.268]
75.75
(124)
[0.070]
83.37
(93)
[0.400]
7.20
(118)
[-0.147]
 95.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.65 
 (47.53) 
 [0.629] 
76.33
(37)
[0.950]
15.96
(125)
[-0.099]
4.88
(48)
[-0.527]
8.10
(75)
[-0.527]
8.74
(81)
[-0.500]
8.20
(48)
[-0.703]
14.52
(79)
[-0.550]
82.88
(35)
[0.847]
88.35
(34)
[0.777]
92.07
(41)
[0.654]
11.65
(34)
[-0.777]
1.88
(50)
[-0.330]
89.03
(34)
[0.796]
84.17
(35)
[0.764]
2.83
(37)
[-0.373]
89.59
(34)
[0.777]
11.40
(84)
[-0.366]
8.26
(95)
[-0.292]
20.27
(38)
[-0.803]
17.13
(40)
[-0.745]
88.35
(34)
[0.777]
82.37
(39)
[0.773]
83.36
(38)
[0.809]
9.05
(36)
[-0.584]
87.29
(39)
[0.756]
4.84
(44)
[-0.317]
14.30
(32)
[-0.557]
82.83
(43)
[0.644]
5.71
(35)
[-0.544]
81.91
(34)
[0.814]
75.89
(36)
[0.846]
85.52
(36)
[0.756]
85.70
(37)
[0.730]
86.41
(52)
[0.669]
85.34
(57)
[0.522]
4.11
(35)
[-0.373]
 96.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  85.84 
 (66.67) 
 [0.519] 
70.71
(57)
[0.700]
14.21
(108)
[-0.190]
8.95
(99)
[-0.318]
5.85
(45)
[-0.634]
6.00
(54)
[-0.630]
9.33
(64)
[-0.649]
9.29
(49)
[-0.731]
78.83
(61)
[0.621]
85.12
(56)
[0.584]
88.98
(76)
[0.472]
14.88
(56)
[-0.584]
2.25
(70)
[-0.304]
85.61
(61)
[0.600]
80.07
(59)
[0.594]
4.48
(81)
[-0.254]
86.30
(60)
[0.582]
11.25
(81)
[-0.377]
8.26
(96)
[-0.291]
23.35
(63)
[-0.621]
20.36
(65)
[-0.552]
85.12
(56)
[0.584]
79.48
(62)
[0.600]
80.00
(61)
[0.611]
10.37
(62)
[-0.491]
83.88
(63)
[0.546]
5.23
(69)
[-0.289]
16.32
(83)
[-0.412]
81.13
(74)
[0.537]
6.81
(59)
[-0.473]
79.10
(61)
[0.668]
72.30
(63)
[0.633]
83.42
(61)
[0.628]
83.79
(59)
[0.607]
84.51
(68)
[0.562]
83.81
(82)
[0.428]
4.59
(56)
[-0.338]
 97.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.24 
 (61.19) 
 [0.541] 
71.65
(52)
[0.741]
14.12
(107)
[-0.194]
8.22
(93)
[-0.356]
5.08
(24)
[-0.671]
5.26
(32)
[-0.665]
9.09
(58)
[-0.660]
8.41
(39)
[-0.762]
79.37
(58)
[0.651]
85.46
(54)
[0.605]
89.64
(70)
[0.510]
14.54
(54)
[-0.605]
2.15
(68)
[-0.311]
86.10
(57)
[0.628]
80.70
(54)
[0.621]
4.33
(70)
[-0.265]
86.79
(57)
[0.611]
11.16
(76)
[-0.383]
8.28
(97)
[-0.290]
22.89
(55)
[-0.648]
20.02
(59)
[-0.572]
85.46
(54)
[0.605]
79.80
(56)
[0.619]
80.44
(59)
[0.637]
10.18
(56)
[-0.505]
84.37
(60)
[0.576]
5.18
(63)
[-0.292]
16.12
(79)
[-0.426]
81.35
(63)
[0.551]
6.61
(58)
[-0.486]
79.67
(54)
[0.698]
72.95
(59)
[0.672]
83.86
(53)
[0.655]
84.21
(54)
[0.634]
85.48
(60)
[0.616]
83.63
(88)
[0.417]
4.50
(53)
[-0.344]
 98.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  86.21 
 (61.83) 
 [0.540] 
71.06
(55)
[0.715]
14.75
(114)
[-0.162]
7.08
(81)
[-0.414]
5.56
(33)
[-0.648]
5.75
(44)
[-0.642]
9.07
(57)
[-0.661]
8.92
(46)
[-0.744]
79.45
(57)
[0.656]
85.33
(55)
[0.597]
90.13
(68)
[0.540]
14.67
(55)
[-0.597]
2.08
(63)
[-0.316]
86.25
(55)
[0.637]
80.65
(55)
[0.619]
4.23
(65)
[-0.272]
86.96
(56)
[0.621]
11.20
(79)
[-0.380]
8.30
(98)
[-0.289]
22.98
(57)
[-0.643]
20.08
(60)
[-0.569]
85.33
(55)
[0.597]
79.61
(59)
[0.608]
80.44
(58)
[0.638]
10.24
(59)
[-0.500]
84.56
(55)
[0.587]
5.20
(64)
[-0.291]
16.08
(78)
[-0.430]
81.38
(61)
[0.553]
6.56
(56)
[-0.488]
79.64
(55)
[0.696]
72.90
(60)
[0.669]
83.79
(56)
[0.651]
84.16
(56)
[0.631]
85.93
(56)
[0.642]
83.13
(95)
[0.386]
4.47
(50)
[-0.347]
 99.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  85.64 
 (69.72) 
 [0.508] 
71.06
(54)
[0.716]
12.78
(98)
[-0.265]
10.06
(112)
[-0.262]
5.88
(46)
[-0.633]
6.19
(56)
[-0.621]
10.62
(78)
[-0.587]
8.67
(41)
[-0.753]
78.49
(63)
[0.602]
85.06
(57)
[0.581]
88.04
(87)
[0.417]
14.94
(57)
[-0.581]
2.35
(74)
[-0.297]
85.17
(62)
[0.575]
79.52
(61)
[0.572]
4.45
(78)
[-0.257]
85.83
(63)
[0.555]
11.40
(83)
[-0.366]
8.41
(99)
[-0.281]
23.44
(64)
[-0.615]
20.46
(66)
[-0.546]
85.06
(57)
[0.581]
79.56
(60)
[0.605]
79.76
(65)
[0.598]
10.48
(64)
[-0.484]
83.23
(69)
[0.506]
5.27
(76)
[-0.285]
16.65
(88)
[-0.389]
80.84
(80)
[0.519]
7.02
(65)
[-0.459]
78.69
(64)
[0.647]
71.94
(73)
[0.612]
83.10
(63)
[0.608]
83.53
(68)
[0.591]
83.43
(88)
[0.501]
84.53
(73)
[0.471]
4.60
(58)
[-0.337]
 100.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  84.49 
 (85.61) 
 [0.441] 
69.47
(65)
[0.645]
7.81
(45)
[-0.523]
16.28
(151)
[0.057]
7.13
(70)
[-0.573]
6.60
(64)
[-0.601]
10.60
(77)
[-0.587]
8.82
(44)
[-0.747]
76.17
(90)
[0.472]
84.01
(74)
[0.518]
84.59
(117)
[0.214]
15.99
(74)
[-0.518]
3.42
(116)
[-0.221]
82.89
(89)
[0.445]
77.31
(82)
[0.480]
5.05
(112)
[-0.213]
83.57
(91)
[0.421]
11.75
(91)
[-0.342]
8.43
(100)
[-0.280]
24.72
(83)
[-0.539]
21.39
(88)
[-0.490]
84.01
(74)
[0.518]
79.17
(69)
[0.581]
77.97
(87)
[0.492]
11.05
(85)
[-0.444]
80.97
(93)
[0.367]
5.37
(82)
[-0.278]
17.65
(98)
[-0.317]
79.78
(89)
[0.452]
8.01
(86)
[-0.395]
76.72
(87)
[0.545]
70.33
(88)
[0.517]
81.87
(85)
[0.533]
82.38
(86)
[0.517]
79.90
(107)
[0.303]
85.92
(54)
[0.556]
5.46
(89)
[-0.274]
 101.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.71 
 (46.72) 
 [0.630] 
76.64
(35)
[0.963]
15.42
(120)
[-0.127]
2.06
(28)
[-0.671]
9.53
(84)
[-0.459]
10.40
(88)
[-0.420]
7.89
(44)
[-0.718]
13.02
(67)
[-0.602]
83.21
(33)
[0.866]
88.19
(37)
[0.768]
93.25
(25)
[0.723]
11.81
(37)
[-0.768]
1.51
(19)
[-0.356]
89.53
(31)
[0.825]
84.36
(33)
[0.772]
2.73
(35)
[-0.380]
90.10
(30)
[0.807]
11.66
(88)
[-0.348]
8.50
(101)
[-0.275]
20.61
(39)
[-0.783]
17.45
(43)
[-0.726]
88.19
(37)
[0.768]
81.77
(42)
[0.737]
83.46
(37)
[0.815]
9.27
(40)
[-0.569]
87.49
(38)
[0.767]
4.95
(51)
[-0.309]
14.48
(39)
[-0.544]
82.78
(44)
[0.641]
5.49
(31)
[-0.558]
81.85
(35)
[0.811]
75.49
(38)
[0.822]
85.29
(38)
[0.742]
85.48
(42)
[0.716]
87.91
(31)
[0.753]
83.46
(91)
[0.406]
3.99
(31)
[-0.381]
 102.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  81.99 
 (75.11) 
 [0.362] 
68.55
(74)
[0.604]
61.15
(186)
[2.251]
6.20
(62)
[-0.459]
6.48
(62)
[-0.604]
6.98
(68)
[-0.583]
9.48
(66)
[-0.642]
95.69
(184)
[2.264]
78.65
(62)
[0.611]
84.10
(72)
[0.523]
92.16
(38)
[0.659]
15.90
(72)
[-0.523]
1.76
(41)
[-0.339]
85.83
(58)
[0.613]
79.82
(60)
[0.584]
2.80
(36)
[-0.375]
86.63
(58)
[0.602]
11.67
(89)
[-0.347]
8.50
(102)
[-0.275]
24.56
(80)
[-0.549]
21.38
(87)
[-0.490]
84.10
(72)
[0.523]
77.70
(88)
[0.493]
79.50
(66)
[0.582]
10.86
(80)
[-0.457]
84.35
(62)
[0.575]
5.52
(89)
[-0.267]
11.71
(7)
[-0.744]
80.64
(82)
[0.506]
6.85
(61)
[-0.470]
78.28
(74)
[0.625]
71.17
(84)
[0.567]
82.56
(77)
[0.575]
82.97
(81)
[0.555]
86.69
(50)
[0.684]
80.10
(117)
[0.200]
4.59
(57)
[-0.338]
 103.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.77 
 (17.14) 
 [0.800] 
83.83
(4)
[1.283]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
12.04
(97)
[-0.340]
12.00
(97)
[-0.345]
5.79
(8)
[-0.819]
4.77
(1)
[-0.888]
87.27
(2)
[1.093]
92.56
(3)
[1.030]
93.67
(14)
[0.748]
7.44
(3)
[-1.030]
1.49
(17)
[-0.358]
92.56
(4)
[0.998]
88.85
(3)
[0.958]
1.90
(6)
[-0.440]
92.83
(3)
[0.968]
11.51
(85)
[-0.359]
8.50
(103)
[-0.275]
15.42
(2)
[-1.090]
12.41
(2)
[-1.027]
92.56
(3)
[1.030]
87.30
(2)
[1.068]
87.29
(4)
[1.040]
7.32
(12)
[-0.705]
91.22
(4)
[0.997]
4.14
(11)
[-0.370]
13.71
(27)
[-0.600]
85.21
(11)
[0.794]
4.45
(3)
[-0.625]
85.53
(5)
[1.003]
80.25
(4)
[1.104]
88.34
(5)
[0.929]
88.38
(8)
[0.902]
88.40
(21)
[0.780]
88.43
(20)
[0.710]
3.82
(21)
[-0.394]
 104.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  82.37 
 (100.75) 
 [0.327] 
63.63
(91)
[0.385]
13.43
(100)
[-0.230]
12.67
(145)
[-0.128]
12.14
(101)
[-0.336]
11.40
(91)
[-0.373]
12.60
(96)
[-0.491]
17.82
(101)
[-0.435]
73.95
(95)
[0.348]
81.51
(96)
[0.367]
85.42
(114)
[0.263]
18.49
(96)
[-0.367]
3.62
(120)
[-0.207]
81.12
(96)
[0.343]
74.14
(94)
[0.349]
5.39
(121)
[-0.188]
82.21
(99)
[0.341]
13.90
(120)
[-0.193]
8.52
(104)
[-0.274]
27.73
(93)
[-0.361]
22.35
(96)
[-0.433]
81.51
(96)
[0.367]
75.73
(93)
[0.376]
75.84
(93)
[0.367]
12.67
(93)
[-0.330]
80.63
(97)
[0.346]
5.86
(97)
[-0.242]
17.83
(101)
[-0.304]
78.04
(103)
[0.343]
9.31
(102)
[-0.311]
73.67
(94)
[0.386]
68.16
(93)
[0.389]
79.58
(93)
[0.394]
80.19
(93)
[0.377]
78.95
(111)
[0.250]
82.72
(101)
[0.361]
6.04
(98)
[-0.232]
 105.  felipecalderero's GSRM sup. BHAT area-weighted  [normal] 0 0 1 0  83.60 
 (86.53) 
 [0.396] 
61.12
(97)
[0.274]
9.32
(60)
[-0.444]
6.09
(60)
[-0.465]
20.61
(141)
[0.067]
19.76
(140)
[0.025]
7.68
(36)
[-0.728]
6.63
(21)
[-0.823]
76.73
(84)
[0.504]
83.56
(81)
[0.490]
88.10
(86)
[0.420]
16.44
(81)
[-0.490]
2.68
(97)
[-0.274]
83.77
(79)
[0.495]
75.33
(91)
[0.399]
4.94
(105)
[-0.220]
84.76
(76)
[0.491]
15.61
(138)
[-0.073]
8.64
(105)
[-0.265]
25.93
(90)
[-0.468]
18.96
(52)
[-0.635]
83.56
(81)
[0.490]
77.66
(89)
[0.491]
77.81
(89)
[0.482]
12.37
(92)
[-0.351]
82.44
(73)
[0.458]
5.08
(57)
[-0.300]
16.94
(92)
[-0.368]
81.48
(57)
[0.559]
8.32
(90)
[-0.375]
74.87
(91)
[0.448]
68.66
(91)
[0.418]
80.09
(91)
[0.424]
80.33
(91)
[0.386]
80.51
(103)
[0.337]
80.68
(115)
[0.236]
5.68
(93)
[-0.258]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 106.  th's texture2015   [large] 0 0 0 0  73.01 
 (113.83) 
 [-0.149] 
48.75
(123)
[-0.276]
68.86
(188)
[2.652]
1.34
(25)
[-0.708]
11.72
(93)
[-0.356]
16.79
(127)
[-0.117]
29.46
(143)
[0.322]
100.00
(189)
[2.413]
65.91
(126)
[-0.101]
67.70
(148)
[-0.461]
96.55
(2)
[0.917]
32.30
(148)
[0.461]
0.74
(5)
[-0.410]
74.79
(126)
[-0.019]
66.01
(120)
[0.013]
1.23
(1)
[-0.489]
77.92
(118)
[0.088]
10.01
(41)
[-0.463]
8.78
(106)
[-0.255]
42.02
(148)
[0.486]
40.79
(156)
[0.671]
67.70
(148)
[-0.461]
58.51
(156)
[-0.656]
66.22
(135)
[-0.200]
19.50
(147)
[0.148]
74.70
(128)
[-0.018]
11.18
(171)
[0.154]
12.62
(15)
[-0.678]
71.74
(135)
[-0.054]
9.76
(107)
[-0.282]
65.04
(125)
[-0.062]
57.20
(132)
[-0.260]
69.58
(137)
[-0.218]
72.52
(129)
[-0.114]
92.68
(2)
[1.020]
59.85
(170)
[-1.040]
7.88
(128)
[-0.097]
 107.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  78.91 
 (108.03) 
 [0.148] 
54.02
(110)
[-0.042]
31.67
(170)
[0.718]
6.26
(65)
[-0.456]
10.12
(87)
[-0.431]
10.52
(90)
[-0.415]
19.13
(120)
[-0.176]
45.75
(154)
[0.533]
70.69
(109)
[0.166]
75.95
(115)
[0.034]
90.22
(65)
[0.545]
24.05
(115)
[-0.034]
1.96
(57)
[-0.324]
79.56
(105)
[0.254]
71.05
(104)
[0.221]
5.14
(115)
[-0.206]
81.21
(103)
[0.282]
12.95
(108)
[-0.258]
8.78
(107)
[-0.255]
33.88
(115)
[0.003]
29.70
(126)
[0.007]
75.95
(115)
[0.034]
68.51
(120)
[-0.057]
71.67
(114)
[0.121]
15.16
(109)
[-0.156]
78.80
(105)
[0.234]
7.05
(120)
[-0.153]
18.24
(103)
[-0.275]
76.70
(110)
[0.258]
9.05
(97)
[-0.328]
70.60
(102)
[0.226]
62.66
(110)
[0.064]
75.99
(106)
[0.174]
76.95
(107)
[0.170]
84.02
(75)
[0.534]
71.89
(154)
[-0.303]
6.33
(102)
[-0.210]
 108.  alexandliutao@gmail.com's sparse+unsupervised   [normal] 0 0 0 0  83.96 
 (89.14) 
 [0.417] 
68.05
(77)
[0.582]
20.23
(163)
[0.123]
9.81
(108)
[-0.274]
10.43
(90)
[-0.417]
9.77
(85)
[-0.451]
9.33
(63)
[-0.649]
15.76
(95)
[-0.507]
76.83
(82)
[0.509]
83.45
(84)
[0.484]
89.14
(75)
[0.481]
16.55
(84)
[-0.484]
2.48
(86)
[-0.287]
83.86
(78)
[0.500]
77.67
(79)
[0.495]
4.40
(75)
[-0.260]
84.98
(72)
[0.504]
13.51
(118)
[-0.220]
8.79
(108)
[-0.255]
25.32
(87)
[-0.504]
20.59
(69)
[-0.538]
83.45
(84)
[0.484]
77.49
(90)
[0.481]
78.32
(85)
[0.513]
11.55
(89)
[-0.408]
83.47
(67)
[0.521]
5.66
(93)
[-0.256]
16.61
(87)
[-0.391]
79.99
(86)
[0.465]
8.07
(87)
[-0.391]
75.67
(90)
[0.490]
69.49
(90)
[0.467]
80.62
(90)
[0.457]
81.17
(90)
[0.440]
82.51
(98)
[0.449]
81.01
(113)
[0.256]
5.63
(92)
[-0.262]
 109.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.324) 0 0 1 0  83.27 
 (93.83) 
 [0.375] 
62.94
(92)
[0.355]
14.25
(109)
[-0.188]
6.95
(77)
[-0.420]
13.15
(113)
[-0.288]
13.35
(112)
[-0.280]
10.80
(82)
[-0.578]
11.24
(56)
[-0.663]
75.88
(91)
[0.456]
82.77
(90)
[0.443]
87.32
(99)
[0.374]
17.23
(90)
[-0.443]
2.49
(87)
[-0.287]
83.16
(86)
[0.460]
74.15
(93)
[0.350]
4.93
(104)
[-0.221]
84.07
(85)
[0.451]
15.86
(140)
[-0.056]
8.82
(109)
[-0.252]
26.51
(92)
[-0.433]
19.47
(55)
[-0.605]
82.77
(90)
[0.443]
76.83
(92)
[0.441]
77.25
(91)
[0.450]
12.24
(91)
[-0.360]
81.82
(84)
[0.420]
5.52
(88)
[-0.267]
18.53
(109)
[-0.253]
79.70
(90)
[0.447]
8.48
(91)
[-0.365]
74.71
(92)
[0.440]
68.62
(92)
[0.416]
80.05
(92)
[0.422]
80.28
(92)
[0.383]
81.99
(101)
[0.420]
79.07
(125)
[0.137]
5.91
(96)
[-0.241]
 110.  xaos's MW3AR w_o pp  [normal] 0 0 0 0  78.87 
 (106.78) 
 [0.140] 
49.64
(121)
[-0.237]
30.02
(167)
[0.632]
2.67
(31)
[-0.640]
16.83
(129)
[-0.113]
17.98
(135)
[-0.060]
19.06
(119)
[-0.180]
29.48
(128)
[-0.031]
71.58
(102)
[0.216]
75.22
(122)
[-0.010]
92.77
(33)
[0.695]
24.78
(122)
[0.010]
1.14
(8)
[-0.382]
80.69
(99)
[0.319]
70.49
(108)
[0.198]
5.63
(122)
[-0.171]
82.25
(98)
[0.343]
11.55
(86)
[-0.356]
8.82
(110)
[-0.252]
33.71
(114)
[-0.007]
30.98
(128)
[0.084]
75.22
(122)
[-0.010]
67.90
(126)
[-0.094]
71.97
(111)
[0.139]
15.79
(115)
[-0.112]
80.68
(94)
[0.349]
6.47
(106)
[-0.197]
17.70
(100)
[-0.313]
79.46
(93)
[0.432]
9.34
(103)
[-0.309]
68.44
(115)
[0.114]
60.75
(116)
[-0.049]
73.41
(118)
[0.016]
74.99
(116)
[0.044]
87.69
(36)
[0.741]
65.83
(166)
[-0.673]
7.66
(125)
[-0.113]
 111.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.21) 0 0 1 0  81.86 
 (101.53) 
 [0.297] 
57.50
(99)
[0.113]
10.94
(80)
[-0.360]
11.63
(127)
[-0.181]
17.99
(133)
[-0.058]
18.48
(136)
[-0.036]
11.06
(84)
[-0.565]
9.43
(51)
[-0.726]
73.55
(96)
[0.326]
81.01
(98)
[0.338]
85.29
(115)
[0.255]
18.99
(98)
[-0.338]
3.10
(107)
[-0.244]
80.99
(97)
[0.336]
71.51
(101)
[0.240]
5.64
(123)
[-0.170]
82.03
(100)
[0.330]
16.19
(143)
[-0.033]
8.86
(111)
[-0.249]
28.25
(96)
[-0.330]
20.92
(78)
[-0.518]
81.01
(98)
[0.338]
75.13
(96)
[0.339]
75.51
(95)
[0.348]
13.40
(95)
[-0.279]
80.64
(95)
[0.347]
5.57
(91)
[-0.263]
18.69
(114)
[-0.242]
79.32
(94)
[0.423]
9.23
(101)
[-0.316]
73.16
(95)
[0.360]
67.12
(95)
[0.327]
78.99
(95)
[0.357]
79.31
(95)
[0.321]
79.31
(109)
[0.270]
79.98
(119)
[0.193]
5.90
(95)
[-0.242]
 112.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (110.31) 
 [0.208] 
53.73
(113)
[-0.055]
16.29
(130)
[-0.082]
11.76
(131)
[-0.174]
18.57
(135)
[-0.030]
18.66
(137)
[-0.028]
12.55
(95)
[-0.493]
16.85
(97)
[-0.469]
71.58
(103)
[0.216]
78.99
(105)
[0.216]
84.91
(116)
[0.233]
21.01
(105)
[-0.216]
3.11
(108)
[-0.243]
79.39
(107)
[0.245]
70.84
(105)
[0.212]
6.45
(133)
[-0.112]
80.61
(106)
[0.246]
16.29
(144)
[-0.026]
8.88
(112)
[-0.248]
30.80
(104)
[-0.179]
23.38
(99)
[-0.371]
78.99
(105)
[0.216]
72.83
(103)
[0.202]
73.35
(101)
[0.220]
14.43
(104)
[-0.207]
79.26
(103)
[0.262]
5.92
(100)
[-0.237]
18.40
(107)
[-0.262]
78.23
(100)
[0.354]
10.09
(111)
[-0.261]
70.52
(103)
[0.222]
64.26
(103)
[0.158]
76.88
(102)
[0.228]
77.31
(103)
[0.193]
77.60
(114)
[0.174]
77.93
(127)
[0.067]
6.15
(100)
[-0.224]
 113.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.63 
 (19.61) 
 [0.792] 
83.47
(7)
[1.267]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
12.17
(102)
[-0.334]
12.21
(100)
[-0.334]
6.12
(14)
[-0.803]
5.26
(5)
[-0.871]
87.13
(6)
[1.085]
92.55
(4)
[1.029]
93.54
(17)
[0.740]
7.45
(4)
[-1.029]
1.52
(20)
[-0.356]
92.58
(3)
[0.999]
88.82
(4)
[0.957]
1.74
(4)
[-0.452]
92.80
(4)
[0.966]
11.86
(93)
[-0.334]
8.93
(113)
[-0.245]
15.62
(6)
[-1.079]
12.68
(4)
[-1.011]
92.55
(4)
[1.029]
87.09
(4)
[1.056]
87.14
(6)
[1.032]
7.33
(14)
[-0.704]
91.07
(6)
[0.987]
4.30
(20)
[-0.357]
14.29
(31)
[-0.558]
84.57
(19)
[0.753]
4.51
(6)
[-0.622]
85.47
(6)
[0.999]
80.05
(7)
[1.092]
88.33
(6)
[0.929]
88.37
(9)
[0.901]
88.37
(22)
[0.779]
88.43
(18)
[0.711]
3.60
(16)
[-0.411]
 114.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.71 
 (18.19) 
 [0.797] 
83.69
(5)
[1.277]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
12.07
(99)
[-0.339]
11.91
(96)
[-0.349]
6.17
(16)
[-0.801]
5.21
(4)
[-0.873]
87.22
(3)
[1.090]
92.63
(2)
[1.034]
93.52
(18)
[0.739]
7.37
(2)
[-1.034]
1.52
(21)
[-0.355]
92.63
(2)
[1.002]
88.95
(2)
[0.962]
1.67
(3)
[-0.457]
92.85
(2)
[0.969]
11.83
(92)
[-0.337]
8.93
(114)
[-0.244]
15.46
(3)
[-1.088]
12.57
(3)
[-1.018]
92.63
(2)
[1.034]
87.24
(3)
[1.065]
87.24
(5)
[1.038]
7.28
(10)
[-0.708]
91.14
(5)
[0.992]
4.28
(17)
[-0.359]
14.22
(29)
[-0.563]
84.64
(18)
[0.758]
4.43
(2)
[-0.626]
85.63
(4)
[1.008]
80.21
(6)
[1.101]
88.43
(4)
[0.935]
88.46
(5)
[0.907]
88.35
(25)
[0.777]
88.63
(17)
[0.722]
3.52
(14)
[-0.416]
 115.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  62.31 
 (156.56) 
 [-0.811] 
30.05
(161)
[-1.108]
6.00
(38)
[-0.617]
53.97
(183)
[1.985]
13.30
(115)
[-0.280]
11.52
(93)
[-0.367]
61.35
(183)
[1.858]
38.83
(142)
[0.293]
43.45
(174)
[-1.356]
58.78
(169)
[-0.995]
51.17
(185)
[-1.752]
41.22
(169)
[0.995]
13.90
(178)
[0.521]
50.98
(176)
[-1.381]
39.02
(170)
[-1.105]
14.56
(178)
[0.474]
52.78
(177)
[-1.397]
13.31
(113)
[-0.233]
8.96
(115)
[-0.242]
51.85
(165)
[1.068]
47.50
(168)
[1.072]
58.78
(169)
[-0.995]
55.25
(162)
[-0.851]
49.83
(166)
[-1.164]
23.84
(165)
[0.451]
53.55
(174)
[-1.317]
9.82
(160)
[0.053]
31.31
(170)
[0.665]
54.04
(170)
[-1.169]
32.28
(179)
[1.174]
40.09
(166)
[-1.359]
42.86
(167)
[-1.108]
57.19
(165)
[-0.976]
61.66
(165)
[-0.810]
47.71
(173)
[-1.504]
86.47
(48)
[0.590]
17.11
(185)
[0.578]
 116.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (154.97) 
 [-0.556] 
28.78
(164)
[-1.164]
19.69
(160)
[0.095]
39.15
(171)
[1.227]
20.42
(140)
[0.058]
21.54
(142)
[0.109]
44.35
(164)
[1.039]
82.87
(171)
[1.820]
51.10
(161)
[-0.928]
64.12
(157)
[-0.675]
72.73
(154)
[-0.484]
35.88
(157)
[0.675]
7.59
(162)
[0.074]
59.88
(159)
[-0.872]
49.03
(161)
[-0.690]
8.38
(156)
[0.027]
63.11
(159)
[-0.787]
16.64
(146)
[-0.002]
8.97
(116)
[-0.242]
46.67
(156)
[0.761]
39.00
(151)
[0.564]
64.12
(157)
[-0.675]
58.75
(153)
[-0.641]
56.28
(158)
[-0.784]
21.29
(151)
[0.273]
62.16
(158)
[-0.788]
8.58
(151)
[-0.040]
21.24
(130)
[-0.059]
66.50
(151)
[-0.384]
19.72
(162)
[0.362]
49.98
(161)
[-0.845]
46.39
(157)
[-0.899]
62.19
(157)
[-0.670]
64.19
(156)
[-0.647]
55.71
(163)
[-1.055]
76.97
(131)
[0.009]
13.05
(176)
[0.281]
 117.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.11 
 (26.56) 
 [0.763] 
81.90
(19)
[1.197]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
13.77
(119)
[-0.258]
13.99
(119)
[-0.250]
6.16
(15)
[-0.802]
5.11
(3)
[-0.876]
86.48
(9)
[1.049]
92.02
(6)
[0.998]
93.39
(19)
[0.732]
7.98
(6)
[-0.998]
1.57
(25)
[-0.352]
92.08
(9)
[0.970]
88.03
(8)
[0.924]
2.08
(15)
[-0.428]
92.38
(8)
[0.941]
12.09
(98)
[-0.318]
8.98
(117)
[-0.241]
16.34
(14)
[-1.036]
13.24
(7)
[-0.978]
92.02
(6)
[0.998]
86.41
(10)
[1.015]
86.50
(14)
[0.994]
7.72
(20)
[-0.677]
90.59
(15)
[0.958]
4.37
(24)
[-0.352]
14.54
(42)
[-0.540]
84.29
(25)
[0.736]
4.82
(14)
[-0.601]
84.59
(16)
[0.954]
79.17
(20)
[1.040]
87.64
(18)
[0.887]
87.70
(19)
[0.858]
87.85
(33)
[0.749]
87.65
(29)
[0.663]
4.02
(33)
[-0.380]
 118.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.56 
 (21.00) 
 [0.788] 
83.23
(8)
[1.257]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
12.54
(104)
[-0.316]
12.37
(101)
[-0.327]
5.97
(10)
[-0.811]
5.32
(8)
[-0.868]
87.05
(7)
[1.080]
92.47
(5)
[1.025]
93.58
(16)
[0.743]
7.53
(5)
[-1.025]
1.48
(15)
[-0.359]
92.51
(5)
[0.995]
88.71
(5)
[0.952]
1.86
(5)
[-0.443]
92.76
(5)
[0.964]
11.90
(94)
[-0.332]
9.00
(118)
[-0.240]
15.65
(7)
[-1.077]
12.75
(5)
[-1.007]
92.47
(5)
[1.025]
87.00
(5)
[1.050]
87.07
(7)
[1.027]
7.38
(16)
[-0.700]
91.06
(7)
[0.987]
4.32
(23)
[-0.356]
14.35
(34)
[-0.554]
84.51
(20)
[0.750]
4.55
(8)
[-0.619]
85.37
(7)
[0.994]
79.94
(11)
[1.086]
88.25
(8)
[0.924]
88.29
(10)
[0.896]
88.33
(26)
[0.776]
88.32
(24)
[0.704]
3.79
(20)
[-0.396]
 119.  alexandliutao@gmail.com's multiscale   [large] 0 0 0 0  90.08 
 (27.08) 
 [0.761] 
81.72
(20)
[1.190]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
13.99
(121)
[-0.247]
14.13
(122)
[-0.243]
6.25
(19)
[-0.797]
5.33
(9)
[-0.868]
86.48
(10)
[1.049]
92.01
(7)
[0.997]
93.38
(20)
[0.731]
7.99
(7)
[-0.997]
1.56
(23)
[-0.353]
92.08
(8)
[0.970]
88.02
(9)
[0.923]
2.05
(13)
[-0.429]
92.38
(9)
[0.941]
12.11
(99)
[-0.317]
9.04
(119)
[-0.237]
16.33
(13)
[-1.036]
13.26
(8)
[-0.977]
92.01
(7)
[0.997]
86.40
(11)
[1.014]
86.51
(13)
[0.994]
7.73
(21)
[-0.677]
90.59
(14)
[0.958]
4.39
(25)
[-0.351]
14.60
(44)
[-0.536]
84.24
(26)
[0.733]
4.82
(13)
[-0.602]
84.59
(17)
[0.953]
79.17
(19)
[1.040]
87.64
(19)
[0.886]
87.69
(21)
[0.858]
87.91
(32)
[0.752]
87.59
(30)
[0.659]
3.89
(25)
[-0.389]
 120.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  82.21 
 (100.89) 
 [0.321] 
61.60
(95)
[0.295]
16.06
(127)
[-0.094]
10.35
(116)
[-0.247]
14.34
(122)
[-0.231]
14.14
(123)
[-0.243]
13.79
(98)
[-0.434]
18.95
(109)
[-0.396]
74.52
(93)
[0.380]
81.60
(94)
[0.373]
86.84
(106)
[0.346]
18.40
(94)
[-0.373]
3.13
(109)
[-0.242]
82.08
(94)
[0.399]
74.95
(92)
[0.383]
4.50
(83)
[-0.252]
83.09
(94)
[0.392]
14.96
(131)
[-0.119]
9.24
(120)
[-0.223]
28.00
(94)
[-0.345]
22.28
(95)
[-0.437]
81.60
(94)
[0.373]
75.30
(94)
[0.350]
75.94
(92)
[0.373]
12.81
(94)
[-0.321]
81.24
(91)
[0.384]
6.00
(101)
[-0.232]
17.66
(99)
[-0.316]
78.72
(97)
[0.385]
8.50
(92)
[-0.363]
73.95
(93)
[0.401]
67.68
(94)
[0.360]
79.28
(94)
[0.375]
79.66
(94)
[0.343]
79.69
(108)
[0.291]
80.42
(116)
[0.220]
5.56
(90)
[-0.267]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 121.  alexandliutao@gmail.com's atom20t14   [large] 0 0 0 0  90.06 
 (28.36) 
 [0.759] 
82.49
(11)
[1.224]
0.25
(11)
[-0.916]
0.00
(1)
[-0.776]
12.70
(108)
[-0.309]
12.82
(108)
[-0.306]
6.35
(20)
[-0.792]
5.30
(6)
[-0.869]
86.35
(13)
[1.041]
91.94
(9)
[0.993]
93.33
(22)
[0.728]
8.06
(9)
[-0.993]
1.58
(27)
[-0.351]
92.03
(10)
[0.968]
87.92
(13)
[0.919]
2.04
(10)
[-0.430]
92.33
(10)
[0.938]
12.32
(102)
[-0.302]
9.25
(121)
[-0.222]
16.50
(15)
[-1.026]
13.43
(11)
[-0.966]
91.94
(9)
[0.993]
86.23
(14)
[1.004]
86.37
(17)
[0.986]
7.80
(24)
[-0.671]
90.52
(16)
[0.954]
4.47
(30)
[-0.345]
14.88
(48)
[-0.516]
83.92
(29)
[0.713]
4.89
(18)
[-0.597]
84.37
(21)
[0.942]
78.83
(23)
[1.020]
87.46
(23)
[0.875]
87.52
(23)
[0.846]
87.72
(34)
[0.742]
87.42
(33)
[0.649]
3.83
(22)
[-0.394]
 121.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.06 
 (28.36) 
 [0.759] 
82.49
(11)
[1.224]
0.25
(11)
[-0.916]
0.00
(1)
[-0.776]
12.70
(108)
[-0.309]
12.82
(108)
[-0.306]
6.35
(20)
[-0.792]
5.30
(6)
[-0.869]
86.35
(13)
[1.041]
91.94
(9)
[0.993]
93.33
(22)
[0.728]
8.06
(9)
[-0.993]
1.58
(27)
[-0.351]
92.03
(10)
[0.968]
87.92
(13)
[0.919]
2.04
(10)
[-0.430]
92.33
(10)
[0.938]
12.32
(102)
[-0.302]
9.25
(121)
[-0.222]
16.50
(15)
[-1.026]
13.43
(11)
[-0.966]
91.94
(9)
[0.993]
86.23
(14)
[1.004]
86.37
(17)
[0.986]
7.80
(24)
[-0.671]
90.52
(16)
[0.954]
4.47
(30)
[-0.345]
14.88
(48)
[-0.516]
83.92
(29)
[0.713]
4.89
(18)
[-0.597]
84.37
(21)
[0.942]
78.83
(23)
[1.020]
87.46
(23)
[0.875]
87.52
(23)
[0.846]
87.72
(34)
[0.742]
87.42
(33)
[0.649]
3.83
(22)
[-0.394]
 123.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  90.09 
 (27.44) 
 [0.761] 
82.24
(15)
[1.212]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
13.36
(116)
[-0.277]
13.57
(115)
[-0.270]
6.08
(12)
[-0.805]
5.33
(10)
[-0.868]
86.43
(12)
[1.045]
91.96
(8)
[0.994]
93.26
(24)
[0.723]
8.04
(8)
[-0.994]
1.58
(26)
[-0.352]
92.03
(12)
[0.967]
87.94
(11)
[0.920]
2.02
(8)
[-0.432]
92.31
(12)
[0.937]
12.29
(101)
[-0.305]
9.26
(123)
[-0.222]
16.24
(11)
[-1.042]
13.21
(6)
[-0.980]
91.96
(8)
[0.994]
86.34
(13)
[1.011]
86.47
(15)
[0.992]
7.76
(22)
[-0.674]
90.63
(11)
[0.960]
4.43
(29)
[-0.348]
14.71
(47)
[-0.528]
84.11
(28)
[0.725]
4.80
(12)
[-0.602]
84.57
(18)
[0.952]
79.04
(21)
[1.032]
87.61
(21)
[0.884]
87.65
(22)
[0.855]
87.68
(37)
[0.740]
87.70
(28)
[0.666]
3.88
(24)
[-0.390]
 124.  felipecalderero's GSRM MARKOV unsup. KL area-unweighted  [normal] 0 0 0 0  56.82 
 (169.69) 
 [-1.115] 
16.79
(179)
[-1.697]
5.50
(35)
[-0.643]
50.36
(179)
[1.801]
27.57
(156)
[0.398]
27.67
(157)
[0.400]
58.99
(178)
[1.745]
43.96
(151)
[0.471]
35.43
(185)
[-1.804]
51.13
(183)
[-1.454]
61.73
(175)
[-1.131]
48.87
(183)
[1.454]
18.40
(186)
[0.840]
43.72
(187)
[-1.796]
28.22
(185)
[-1.552]
15.34
(181)
[0.531]
48.20
(186)
[-1.667]
15.99
(141)
[-0.047]
9.27
(124)
[-0.221]
60.39
(180)
[1.574]
53.66
(179)
[1.441]
51.13
(183)
[-1.454]
46.34
(178)
[-1.384]
41.78
(182)
[-1.638]
27.84
(173)
[0.732]
51.61
(181)
[-1.436]
11.55
(172)
[0.182]
28.80
(164)
[0.484]
47.60
(184)
[-1.574]
41.07
(187)
[1.742]
25.36
(188)
[-2.124]
33.70
(180)
[-1.649]
48.46
(180)
[-1.510]
53.43
(178)
[-1.337]
36.75
(188)
[-2.119]
82.20
(106)
[0.329]
12.73
(175)
[0.257]
 125.  david0432's Cooperative Mum-Shah Simple Memory  [normal] 0 0 1 0  79.58 
 (111.75) 
 [0.177] 
53.84
(111)
[-0.050]
5.99
(37)
[-0.617]
11.67
(128)
[-0.179]
27.38
(155)
[0.389]
28.16
(160)
[0.424]
15.76
(106)
[-0.339]
19.18
(110)
[-0.388]
70.32
(112)
[0.146]
78.83
(106)
[0.207]
83.96
(120)
[0.177]
21.18
(106)
[-0.207]
3.25
(111)
[-0.233]
77.93
(111)
[0.161]
69.40
(112)
[0.153]
6.51
(134)
[-0.107]
79.53
(112)
[0.183]
17.42
(152)
[0.052]
9.28
(125)
[-0.220]
30.67
(103)
[-0.187]
22.53
(97)
[-0.422]
78.83
(106)
[0.207]
72.81
(104)
[0.200]
72.73
(104)
[0.184]
14.76
(105)
[-0.184]
77.30
(115)
[0.142]
5.90
(98)
[-0.239]
18.54
(110)
[-0.252]
77.89
(105)
[0.333]
10.27
(113)
[-0.249]
70.66
(101)
[0.229]
65.32
(100)
[0.221]
77.30
(100)
[0.254]
77.58
(101)
[0.210]
75.81
(123)
[0.073]
79.92
(120)
[0.189]
6.78
(110)
[-0.178]
 126.  daicav's SegTexCol  [large] 0 0 0 0  73.26 
 (136.53) 
 [-0.189] 
45.04
(136)
[-0.441]
6.33
(40)
[-0.600]
34.19
(170)
[0.973]
13.78
(120)
[-0.257]
12.73
(106)
[-0.310]
33.58
(150)
[0.520]
22.44
(116)
[-0.275]
58.76
(149)
[-0.500]
70.91
(140)
[-0.268]
66.13
(162)
[-0.872]
29.09
(140)
[0.268]
6.76
(157)
[0.015]
66.14
(153)
[-0.514]
57.50
(148)
[-0.340]
9.63
(165)
[0.118]
67.27
(154)
[-0.541]
11.92
(95)
[-0.330]
9.37
(126)
[-0.214]
38.62
(138)
[0.284]
36.07
(142)
[0.389]
70.91
(140)
[-0.268]
66.91
(131)
[-0.153]
63.63
(142)
[-0.352]
17.86
(135)
[0.033]
67.82
(150)
[-0.441]
7.44
(133)
[-0.124]
24.37
(144)
[0.166]
69.17
(147)
[-0.216]
17.05
(153)
[0.189]
60.21
(140)
[-0.313]
55.87
(138)
[-0.338]
69.73
(135)
[-0.209]
72.01
(135)
[-0.147]
65.77
(152)
[-0.490]
83.58
(89)
[0.413]
8.78
(144)
[-0.032]
 127.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.90 
 (31.39) 
 [0.749] 
82.08
(17)
[1.206]
0.72
(16)
[-0.891]
0.00
(1)
[-0.776]
12.55
(106)
[-0.316]
12.82
(107)
[-0.306]
6.42
(22)
[-0.789]
5.45
(11)
[-0.864]
86.14
(16)
[1.030]
91.78
(11)
[0.983]
93.23
(26)
[0.722]
8.22
(11)
[-0.983]
1.64
(35)
[-0.347]
91.88
(14)
[0.959]
87.67
(16)
[0.909]
2.07
(14)
[-0.428]
92.18
(14)
[0.930]
12.45
(104)
[-0.294]
9.40
(127)
[-0.212]
16.67
(18)
[-1.016]
13.62
(14)
[-0.955]
91.78
(11)
[0.983]
86.02
(17)
[0.992]
86.17
(19)
[0.974]
7.94
(26)
[-0.662]
90.51
(18)
[0.953]
4.51
(32)
[-0.342]
15.07
(52)
[-0.502]
83.74
(32)
[0.701]
5.01
(21)
[-0.589]
84.03
(25)
[0.924]
78.52
(25)
[1.001]
87.21
(25)
[0.860]
87.26
(26)
[0.830]
87.47
(38)
[0.728]
87.16
(37)
[0.633]
3.93
(26)
[-0.386]
 128.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (121.92) 
 [0.064] 
45.57
(134)
[-0.418]
14.56
(111)
[-0.172]
27.86
(166)
[0.650]
17.99
(134)
[-0.057]
17.58
(132)
[-0.079]
14.76
(102)
[-0.387]
20.63
(114)
[-0.338]
65.36
(128)
[-0.132]
76.12
(114)
[0.044]
76.95
(144)
[-0.236]
23.88
(114)
[-0.044]
5.18
(144)
[-0.096]
73.17
(134)
[-0.111]
64.18
(125)
[-0.063]
7.49
(150)
[-0.037]
74.36
(135)
[-0.123]
14.68
(127)
[-0.139]
9.40
(128)
[-0.212]
32.16
(109)
[-0.099]
26.88
(112)
[-0.161]
76.12
(114)
[0.044]
71.39
(108)
[0.116]
70.07
(117)
[0.027]
15.46
(112)
[-0.135]
76.62
(118)
[0.100]
5.91
(99)
[-0.238]
19.57
(124)
[-0.179]
77.52
(107)
[0.310]
11.17
(121)
[-0.191]
68.58
(114)
[0.122]
62.59
(111)
[0.059]
75.81
(110)
[0.163]
76.54
(110)
[0.144]
72.03
(141)
[-0.139]
82.58
(103)
[0.352]
7.63
(123)
[-0.116]
 129.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  79.37 
 (106.78) 
 [0.170] 
53.82
(112)
[-0.051]
30.04
(169)
[0.633]
6.29
(66)
[-0.454]
11.74
(94)
[-0.354]
12.53
(103)
[-0.319]
18.38
(117)
[-0.212]
38.14
(140)
[0.269]
71.43
(105)
[0.207]
76.97
(111)
[0.095]
90.51
(62)
[0.562]
23.03
(111)
[-0.095]
1.91
(52)
[-0.328]
80.40
(101)
[0.303]
71.87
(99)
[0.255]
4.82
(97)
[-0.229]
81.95
(101)
[0.325]
14.07
(124)
[-0.181]
9.55
(129)
[-0.201]
33.28
(112)
[-0.032]
28.76
(119)
[-0.049]
76.97
(111)
[0.095]
69.29
(114)
[-0.010]
72.36
(107)
[0.162]
14.98
(107)
[-0.169]
79.33
(102)
[0.266]
6.99
(117)
[-0.158]
18.41
(108)
[-0.262]
76.79
(109)
[0.264]
8.76
(94)
[-0.346]
71.09
(100)
[0.252]
63.15
(107)
[0.092]
76.36
(105)
[0.196]
77.13
(105)
[0.181]
83.88
(77)
[0.526]
71.98
(153)
[-0.297]
6.39
(104)
[-0.206]
 130.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.86 
 (31.72) 
 [0.747] 
82.57
(10)
[1.227]
0.73
(18)
[-0.891]
0.00
(1)
[-0.776]
11.87
(96)
[-0.348]
12.05
(98)
[-0.342]
6.45
(23)
[-0.788]
5.82
(12)
[-0.851]
86.02
(18)
[1.023]
91.73
(12)
[0.981]
93.10
(27)
[0.714]
8.27
(12)
[-0.981]
1.65
(36)
[-0.346]
91.81
(15)
[0.955]
87.60
(17)
[0.906]
2.05
(12)
[-0.430]
92.10
(15)
[0.925]
12.59
(106)
[-0.284]
9.57
(130)
[-0.200]
16.81
(21)
[-1.008]
13.80
(17)
[-0.945]
91.73
(12)
[0.981]
85.96
(18)
[0.988]
86.05
(21)
[0.968]
7.99
(27)
[-0.658]
90.45
(19)
[0.949]
4.61
(34)
[-0.334]
15.28
(56)
[-0.487]
83.48
(33)
[0.685]
5.03
(22)
[-0.588]
83.90
(26)
[0.918]
78.31
(26)
[0.989]
87.09
(26)
[0.852]
87.14
(28)
[0.822]
87.35
(40)
[0.721]
87.03
(39)
[0.625]
3.77
(19)
[-0.398]
 131.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(10dB) 0 0 1 0  80.54 
 (109.03) 
 [0.222] 
56.61
(102)
[0.073]
10.79
(77)
[-0.368]
12.31
(138)
[-0.146]
19.81
(139)
[0.029]
19.14
(138)
[-0.005]
11.85
(92)
[-0.527]
11.40
(57)
[-0.658]
71.50
(104)
[0.211]
79.41
(101)
[0.242]
83.38
(124)
[0.143]
20.59
(101)
[-0.242]
3.89
(128)
[-0.188]
79.06
(109)
[0.226]
69.12
(113)
[0.141]
6.34
(130)
[-0.119]
80.19
(109)
[0.222]
16.75
(147)
[0.005]
9.71
(131)
[-0.190]
29.28
(99)
[-0.269]
22.24
(94)
[-0.439]
79.41
(101)
[0.242]
73.57
(101)
[0.246]
73.86
(99)
[0.250]
14.30
(103)
[-0.216]
79.91
(101)
[0.302]
5.70
(95)
[-0.253]
19.19
(122)
[-0.206]
78.51
(98)
[0.372]
10.43
(114)
[-0.239]
70.35
(106)
[0.214]
64.97
(101)
[0.200]
77.00
(101)
[0.235]
77.37
(102)
[0.197]
76.17
(119)
[0.094]
79.35
(124)
[0.155]
6.45
(105)
[-0.202]
 132.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.66 
 (63.31) 
 [0.564] 
74.99
(42)
[0.890]
8.02
(46)
[-0.512]
7.49
(87)
[-0.393]
8.81
(80)
[-0.494]
8.60
(80)
[-0.506]
9.74
(70)
[-0.629]
8.96
(47)
[-0.743]
80.72
(47)
[0.726]
87.96
(41)
[0.754]
88.58
(77)
[0.449]
12.04
(41)
[-0.754]
3.05
(105)
[-0.247]
87.41
(44)
[0.703]
82.70
(41)
[0.704]
3.29
(51)
[-0.340]
87.83
(46)
[0.673]
13.04
(110)
[-0.252]
9.74
(132)
[-0.188]
21.83
(48)
[-0.711]
18.52
(48)
[-0.662]
87.96
(41)
[0.754]
82.06
(40)
[0.754]
81.44
(48)
[0.697]
9.69
(47)
[-0.539]
84.84
(53)
[0.605]
5.33
(80)
[-0.281]
17.04
(94)
[-0.361]
79.91
(87)
[0.460]
7.06
(68)
[-0.457]
79.38
(59)
[0.683]
73.46
(53)
[0.702]
84.02
(51)
[0.665]
84.34
(53)
[0.643]
83.30
(91)
[0.494]
86.05
(51)
[0.565]
5.12
(80)
[-0.299]
 133.  alexandliutao@gmail.com's FSEG_onlycolor   [normal] 0 0 0 0  77.22 
 (116.39) 
 [0.056] 
55.86
(105)
[0.040]
29.32
(166)
[0.596]
7.05
(79)
[-0.415]
11.48
(91)
[-0.367]
12.21
(99)
[-0.335]
16.53
(109)
[-0.302]
60.14
(163)
[1.031]
68.36
(117)
[0.036]
73.79
(129)
[-0.095]
90.88
(57)
[0.584]
26.21
(129)
[0.095]
1.87
(48)
[-0.331]
77.68
(115)
[0.147]
69.51
(110)
[0.157]
5.05
(113)
[-0.213]
79.84
(110)
[0.201]
13.49
(116)
[-0.221]
9.81
(133)
[-0.183]
36.23
(130)
[0.142]
32.55
(133)
[0.178]
73.79
(129)
[-0.095]
66.40
(136)
[-0.183]
69.00
(121)
[-0.036]
16.73
(122)
[-0.046]
78.43
(109)
[0.211]
7.83
(137)
[-0.095]
19.16
(120)
[-0.208]
75.20
(117)
[0.163]
10.20
(112)
[-0.253]
66.75
(119)
[0.026]
59.06
(126)
[-0.150]
72.32
(125)
[-0.051]
74.13
(120)
[-0.011]
85.27
(62)
[0.605]
66.96
(163)
[-0.604]
7.38
(120)
[-0.134]
 134.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.58 
 (35.39) 
 [0.730] 
82.05
(18)
[1.204]
0.73
(18)
[-0.891]
0.00
(1)
[-0.776]
12.31
(103)
[-0.327]
12.42
(102)
[-0.325]
6.62
(25)
[-0.779]
6.00
(14)
[-0.845]
85.69
(22)
[1.004]
91.53
(15)
[0.969]
92.90
(29)
[0.703]
8.47
(15)
[-0.969]
1.77
(42)
[-0.338]
91.61
(16)
[0.943]
87.30
(22)
[0.894]
2.09
(16)
[-0.427]
91.90
(16)
[0.913]
12.91
(107)
[-0.261]
9.86
(134)
[-0.180]
17.19
(24)
[-0.986]
14.13
(20)
[-0.925]
91.53
(15)
[0.969]
85.63
(22)
[0.968]
85.71
(25)
[0.948]
8.19
(28)
[-0.644]
90.26
(21)
[0.938]
4.70
(37)
[-0.328]
15.79
(66)
[-0.450]
82.95
(40)
[0.651]
5.27
(26)
[-0.572]
83.37
(28)
[0.890]
77.80
(29)
[0.958]
86.74
(28)
[0.831]
86.80
(29)
[0.800]
87.01
(47)
[0.702]
86.69
(44)
[0.604]
3.98
(30)
[-0.383]
 135.  alexandliutao@gmail.com's my_unsupervised   [large] 0 0 0 0  78.92 
 (110.53) 
 [0.145] 
53.30
(116)
[-0.074]
30.03
(168)
[0.633]
5.70
(57)
[-0.485]
12.14
(100)
[-0.336]
12.98
(110)
[-0.298]
18.69
(118)
[-0.197]
39.02
(143)
[0.300]
70.72
(108)
[0.168]
76.25
(113)
[0.052]
90.21
(66)
[0.544]
23.75
(113)
[-0.052]
2.03
(60)
[-0.319]
79.81
(104)
[0.268]
71.11
(103)
[0.223]
4.91
(102)
[-0.223]
81.40
(102)
[0.293]
14.46
(126)
[-0.154]
9.86
(135)
[-0.180]
33.97
(117)
[0.009]
29.37
(123)
[-0.012]
76.25
(113)
[0.052]
68.44
(124)
[-0.061]
71.65
(115)
[0.120]
15.43
(111)
[-0.137]
79.04
(104)
[0.249]
7.12
(122)
[-0.148]
18.67
(112)
[-0.244]
76.43
(112)
[0.241]
8.98
(96)
[-0.333]
70.38
(105)
[0.215]
62.48
(112)
[0.053]
75.77
(111)
[0.160]
76.62
(109)
[0.149]
83.52
(87)
[0.507]
71.50
(156)
[-0.327]
6.49
(106)
[-0.199]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 136.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  89.45 
 (37.33) 
 [0.723] 
81.35
(23)
[1.173]
0.72
(17)
[-0.891]
0.00
(1)
[-0.776]
13.17
(114)
[-0.287]
13.43
(113)
[-0.277]
6.66
(26)
[-0.777]
5.96
(13)
[-0.847]
85.59
(23)
[0.999]
91.42
(16)
[0.962]
92.86
(30)
[0.700]
8.58
(16)
[-0.962]
1.82
(47)
[-0.334]
91.50
(19)
[0.937]
87.13
(23)
[0.887]
2.17
(20)
[-0.421]
91.81
(19)
[0.908]
12.96
(109)
[-0.258]
9.87
(136)
[-0.179]
17.27
(25)
[-0.981]
14.18
(21)
[-0.922]
91.42
(16)
[0.962]
85.52
(25)
[0.961]
85.61
(26)
[0.942]
8.31
(29)
[-0.636]
90.15
(22)
[0.931]
4.65
(35)
[-0.332]
15.76
(63)
[-0.453]
83.02
(38)
[0.656]
5.37
(29)
[-0.566]
83.19
(30)
[0.881]
77.77
(30)
[0.957]
86.64
(29)
[0.825]
86.70
(30)
[0.794]
86.96
(49)
[0.699]
86.55
(46)
[0.595]
4.13
(36)
[-0.372]
 137.  alexandliutao@gmail.com's filter+sparse   [large] 0 0 0 0  88.98 
 (42.47) 
 [0.696] 
80.83
(25)
[1.150]
0.72
(15)
[-0.891]
0.00
(1)
[-0.776]
13.58
(117)
[-0.267]
13.77
(117)
[-0.260]
7.21
(30)
[-0.751]
6.65
(22)
[-0.822]
84.96
(27)
[0.963]
90.95
(22)
[0.933]
92.38
(35)
[0.672]
9.05
(22)
[-0.933]
2.06
(62)
[-0.317]
91.03
(24)
[0.910]
86.42
(27)
[0.857]
2.16
(19)
[-0.421]
91.34
(24)
[0.880]
13.51
(119)
[-0.219]
10.43
(137)
[-0.139]
17.80
(30)
[-0.950]
14.72
(27)
[-0.889]
90.95
(22)
[0.933]
84.91
(28)
[0.925]
84.98
(28)
[0.905]
8.73
(33)
[-0.606]
89.69
(27)
[0.903]
4.88
(45)
[-0.315]
16.75
(89)
[-0.381]
81.96
(54)
[0.589]
5.67
(33)
[-0.546]
82.51
(32)
[0.845]
77.13
(31)
[0.919]
86.20
(31)
[0.798]
86.25
(31)
[0.765]
86.48
(51)
[0.672]
86.12
(50)
[0.569]
4.26
(42)
[-0.362]
 138.  test's HGS  [normal] 0 0 0 0  65.01 
 (157.36) 
 [-0.656] 
29.81
(162)
[-1.118]
10.69
(75)
[-0.373]
33.76
(169)
[0.951]
26.89
(153)
[0.366]
25.04
(148)
[0.275]
48.94
(170)
[1.260]
32.39
(131)
[0.070]
49.60
(162)
[-1.012]
63.37
(159)
[-0.720]
66.09
(163)
[-0.875]
36.63
(159)
[0.720]
13.51
(176)
[0.493]
58.74
(163)
[-0.937]
46.63
(162)
[-0.790]
13.31
(175)
[0.384]
61.17
(164)
[-0.902]
16.75
(148)
[0.006]
10.46
(138)
[-0.137]
49.80
(161)
[0.947]
43.51
(160)
[0.834]
63.37
(159)
[-0.720]
57.52
(158)
[-0.715]
53.33
(161)
[-0.958]
22.90
(159)
[0.386]
58.60
(165)
[-1.006]
9.46
(156)
[0.026]
30.28
(168)
[0.591]
57.28
(169)
[-0.965]
27.95
(175)
[0.894]
41.52
(163)
[-1.285]
43.98
(162)
[-1.041]
58.92
(160)
[-0.870]
62.21
(162)
[-0.775]
50.58
(170)
[-1.343]
81.27
(112)
[0.272]
11.42
(168)
[0.162]
 139.  david0432's Cooperative Mum-Shah Weighted Memory  [normal] 0 0 1 0  78.84 
 (116.75) 
 [0.130] 
53.69
(114)
[-0.057]
12.11
(87)
[-0.299]
11.03
(122)
[-0.212]
24.65
(148)
[0.259]
25.01
(147)
[0.274]
14.58
(101)
[-0.395]
18.88
(107)
[-0.399]
69.50
(115)
[0.100]
78.02
(109)
[0.159]
83.19
(125)
[0.132]
21.98
(109)
[-0.159]
3.47
(117)
[-0.218]
77.93
(112)
[0.161]
68.66
(116)
[0.122]
6.35
(131)
[-0.119]
79.20
(114)
[0.163]
18.84
(155)
[0.151]
10.51
(139)
[-0.134]
32.31
(110)
[-0.090]
23.98
(101)
[-0.335]
78.02
(109)
[0.159]
71.03
(109)
[0.094]
71.73
(113)
[0.125]
15.35
(110)
[-0.142]
77.69
(112)
[0.166]
6.26
(105)
[-0.212]
19.80
(126)
[-0.162]
76.83
(108)
[0.266]
10.58
(115)
[-0.229]
68.87
(111)
[0.137]
62.37
(114)
[0.046]
75.60
(113)
[0.150]
75.92
(112)
[0.104]
75.47
(126)
[0.054]
77.03
(130)
[0.012]
6.88
(111)
[-0.170]
 140.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  88.60 
 (43.39) 
 [0.676] 
78.67
(30)
[1.054]
0.00
(1)
[-0.929]
0.00
(1)
[-0.776]
16.84
(130)
[-0.112]
16.85
(128)
[-0.114]
7.68
(38)
[-0.728]
6.22
(17)
[-0.837]
84.38
(28)
[0.931]
90.66
(25)
[0.916]
92.07
(42)
[0.653]
9.34
(25)
[-0.916]
1.88
(49)
[-0.330]
90.65
(25)
[0.889]
86.00
(28)
[0.840]
2.20
(21)
[-0.419]
91.00
(25)
[0.860]
13.97
(122)
[-0.188]
10.60
(140)
[-0.128]
18.44
(31)
[-0.911]
15.07
(29)
[-0.868]
90.66
(25)
[0.916]
84.47
(30)
[0.899]
84.48
(31)
[0.875]
9.00
(35)
[-0.587]
88.91
(29)
[0.855]
4.94
(49)
[-0.310]
16.37
(84)
[-0.408]
82.32
(52)
[0.611]
5.29
(27)
[-0.571]
82.75
(31)
[0.858]
76.73
(32)
[0.895]
86.08
(32)
[0.791]
86.12
(33)
[0.757]
85.81
(58)
[0.635]
86.49
(47)
[0.592]
4.01
(32)
[-0.381]
 141.  xiaofang's sas_gmm(color+tensor)   [normal] 0 0 1 0  80.51 
 (107.22) 
 [0.229] 
56.18
(104)
[0.054]
8.22
(50)
[-0.502]
9.92
(111)
[-0.269]
26.38
(150)
[0.341]
27.56
(156)
[0.395]
13.49
(97)
[-0.448]
17.74
(99)
[-0.438]
72.16
(99)
[0.248]
80.33
(99)
[0.297]
83.18
(126)
[0.131]
19.67
(99)
[-0.297]
3.76
(123)
[-0.197]
79.99
(102)
[0.279]
70.49
(107)
[0.198]
5.28
(118)
[-0.196]
80.84
(104)
[0.260]
16.40
(145)
[-0.019]
10.62
(141)
[-0.126]
28.98
(97)
[-0.287]
23.20
(98)
[-0.382]
80.33
(99)
[0.297]
73.93
(97)
[0.268]
73.97
(98)
[0.257]
14.02
(101)
[-0.236]
77.98
(111)
[0.183]
5.65
(92)
[-0.257]
18.68
(113)
[-0.243]
79.23
(95)
[0.417]
9.18
(99)
[-0.320]
72.82
(96)
[0.342]
66.42
(96)
[0.286]
78.69
(96)
[0.339]
79.03
(96)
[0.303]
78.92
(112)
[0.248]
79.83
(121)
[0.184]
7.06
(113)
[-0.158]
 142.  alexandliutao@gmail.com's FSEG_nocolor   [normal] 0 0 0 0  72.68 
 (141.83) 
 [-0.214] 
41.93
(142)
[-0.580]
18.69
(157)
[0.043]
30.85
(168)
[0.802]
12.05
(98)
[-0.340]
11.82
(95)
[-0.353]
29.92
(144)
[0.344]
40.04
(146)
[0.335]
60.33
(142)
[-0.412]
71.13
(138)
[-0.255]
75.37
(150)
[-0.329]
28.87
(138)
[0.255]
6.68
(155)
[0.010]
69.49
(142)
[-0.322]
60.71
(139)
[-0.207]
8.04
(153)
[0.003]
71.20
(143)
[-0.309]
14.72
(128)
[-0.136]
10.77
(142)
[-0.116]
40.77
(144)
[0.412]
36.82
(146)
[0.434]
71.13
(138)
[-0.255]
64.70
(141)
[-0.285]
63.53
(143)
[-0.357]
18.30
(139)
[0.064]
68.89
(148)
[-0.375]
8.30
(143)
[-0.060]
23.70
(140)
[0.118]
69.26
(145)
[-0.210]
15.19
(144)
[0.069]
58.73
(145)
[-0.391]
53.06
(148)
[-0.504]
68.17
(144)
[-0.304]
69.96
(145)
[-0.278]
66.90
(149)
[-0.427]
76.82
(133)
[-0.001]
9.29
(151)
[0.006]
 143.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.5) 0 0 1 0  82.29 
 (99.08) 
 [0.316] 
63.92
(90)
[0.398]
10.76
(76)
[-0.369]
4.81
(46)
[-0.530]
15.93
(128)
[-0.155]
16.32
(126)
[-0.139]
11.25
(87)
[-0.556]
11.71
(59)
[-0.647]
74.64
(92)
[0.387]
81.95
(92)
[0.394]
87.65
(91)
[0.394]
18.05
(92)
[-0.394]
2.70
(98)
[-0.272]
82.70
(91)
[0.434]
72.93
(95)
[0.299]
5.29
(119)
[-0.195]
83.72
(89)
[0.430]
17.64
(153)
[0.067]
10.85
(143)
[-0.110]
28.08
(95)
[-0.340]
21.29
(83)
[-0.496]
81.95
(92)
[0.394]
75.18
(95)
[0.342]
75.70
(94)
[0.358]
13.48
(96)
[-0.273]
81.64
(88)
[0.408]
6.08
(102)
[-0.225]
20.39
(128)
[-0.120]
77.73
(106)
[0.323]
9.16
(98)
[-0.321]
72.44
(97)
[0.322]
65.87
(98)
[0.253]
78.19
(97)
[0.308]
78.46
(99)
[0.266]
80.24
(106)
[0.322]
77.22
(129)
[0.024]
5.92
(97)
[-0.240]
 144.  alexandliutao@gmail.com's atom20t6   [large] 0 0 0 0  88.01 
 (48.94) 
 [0.642] 
77.79
(31)
[1.015]
0.31
(13)
[-0.913]
0.00
(1)
[-0.776]
17.01
(132)
[-0.104]
17.16
(131)
[-0.099]
8.03
(47)
[-0.711]
6.54
(20)
[-0.826]
83.64
(31)
[0.890]
90.19
(29)
[0.888]
91.84
(43)
[0.640]
9.81
(29)
[-0.888]
2.00
(59)
[-0.322]
90.22
(26)
[0.864]
85.29
(30)
[0.811]
2.40
(26)
[-0.404]
90.61
(26)
[0.837]
14.75
(129)
[-0.133]
11.14
(144)
[-0.090]
19.44
(33)
[-0.852]
15.83
(32)
[-0.823]
90.19
(29)
[0.888]
83.65
(32)
[0.850]
83.72
(33)
[0.830]
9.48
(44)
[-0.554]
88.51
(31)
[0.830]
5.17
(61)
[-0.293]
17.17
(95)
[-0.351]
81.43
(60)
[0.556]
5.69
(34)
[-0.545]
81.56
(37)
[0.796]
75.29
(42)
[0.811]
85.16
(42)
[0.735]
85.20
(45)
[0.698]
84.89
(66)
[0.583]
85.57
(56)
[0.535]
4.30
(43)
[-0.359]
 145.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (126.11) 
 [0.008] 
41.42
(144)
[-0.602]
15.04
(116)
[-0.147]
12.48
(140)
[-0.137]
27.64
(157)
[0.401]
26.92
(152)
[0.365]
17.80
(113)
[-0.240]
15.13
(85)
[-0.529]
66.53
(120)
[-0.066]
75.75
(117)
[0.022]
82.19
(128)
[0.072]
24.25
(117)
[-0.022]
4.17
(134)
[-0.168]
76.10
(118)
[0.056]
63.63
(129)
[-0.086]
6.72
(136)
[-0.092]
77.48
(120)
[0.062]
20.47
(159)
[0.264]
11.25
(145)
[-0.082]
35.25
(123)
[0.085]
26.03
(109)
[-0.212]
75.75
(117)
[0.022]
68.47
(122)
[-0.059]
68.43
(123)
[-0.070]
17.13
(126)
[-0.018]
75.42
(123)
[0.026]
6.47
(107)
[-0.196]
21.84
(135)
[-0.015]
76.07
(113)
[0.218]
11.22
(122)
[-0.188]
66.22
(120)
[-0.001]
59.42
(122)
[-0.128]
73.37
(119)
[0.013]
73.72
(122)
[-0.037]
74.33
(131)
[-0.009]
73.83
(146)
[-0.184]
8.02
(130)
[-0.087]
 145.  xiaofang's LocalGlobalGraph color  [normal] 0 1 0 0  76.67 
 (126.11) 
 [0.008] 
41.42
(144)
[-0.602]
15.04
(116)
[-0.147]
12.48
(140)
[-0.137]
27.64
(157)
[0.401]
26.92
(152)
[0.365]
17.80
(113)
[-0.240]
15.13
(85)
[-0.529]
66.53
(120)
[-0.066]
75.75
(117)
[0.022]
82.19
(128)
[0.072]
24.25
(117)
[-0.022]
4.17
(134)
[-0.168]
76.10
(118)
[0.056]
63.63
(129)
[-0.086]
6.72
(136)
[-0.092]
77.48
(120)
[0.062]
20.47
(159)
[0.264]
11.25
(145)
[-0.082]
35.25
(123)
[0.085]
26.03
(109)
[-0.212]
75.75
(117)
[0.022]
68.47
(122)
[-0.059]
68.43
(123)
[-0.070]
17.13
(126)
[-0.018]
75.42
(123)
[0.026]
6.47
(107)
[-0.196]
21.84
(135)
[-0.015]
76.07
(113)
[0.218]
11.22
(122)
[-0.188]
66.22
(120)
[-0.001]
59.42
(122)
[-0.128]
73.37
(119)
[0.013]
73.72
(122)
[-0.037]
74.33
(131)
[-0.009]
73.83
(146)
[-0.184]
8.02
(130)
[-0.087]
 147.  test's SWA def_par  [normal] 0 1 0 0  66.59 
 (147.50) 
 [-0.527] 
27.06
(168)
[-1.241]
50.21
(175)
[1.682]
4.53
(42)
[-0.544]
25.76
(149)
[0.312]
27.50
(154)
[0.393]
33.01
(149)
[0.493]
85.19
(173)
[1.900]
54.84
(155)
[-0.719]
60.67
(163)
[-0.882]
88.17
(84)
[0.424]
39.33
(163)
[0.882]
2.11
(67)
[-0.314]
66.94
(148)
[-0.468]
53.71
(154)
[-0.496]
6.11
(128)
[-0.136]
70.32
(145)
[-0.361]
17.27
(151)
[0.042]
11.50
(147)
[-0.065]
50.96
(163)
[1.016]
45.18
(165)
[0.934]
60.67
(163)
[-0.882]
51.56
(168)
[-1.072]
55.84
(160)
[-0.810]
24.20
(167)
[0.477]
69.05
(147)
[-0.365]
9.75
(158)
[0.048]
21.56
(132)
[-0.036]
70.86
(139)
[-0.110]
13.68
(138)
[-0.029]
51.67
(157)
[-0.757]
43.43
(164)
[-1.074]
58.77
(161)
[-0.880]
61.69
(164)
[-0.808]
79.03
(110)
[0.254]
51.05
(182)
[-1.579]
10.34
(157)
[0.083]
 148.  test's JSEG   [normal] 0 0 0 0  65.97 
 (151.03) 
 [-0.554] 
27.47
(167)
[-1.223]
38.62
(172)
[1.080]
5.04
(49)
[-0.518]
35.00
(169)
[0.751]
35.50
(170)
[0.773]
37.94
(155)
[0.730]
92.77
(178)
[2.163]
55.29
(154)
[-0.694]
61.81
(161)
[-0.813]
87.70
(90)
[0.397]
38.19
(161)
[0.813]
3.66
(121)
[-0.204]
66.74
(151)
[-0.479]
55.14
(153)
[-0.437]
4.96
(106)
[-0.220]
70.27
(146)
[-0.364]
18.45
(154)
[0.124]
11.64
(148)
[-0.055]
50.79
(162)
[1.006]
43.98
(161)
[0.862]
61.81
(161)
[-0.813]
51.94
(167)
[-1.049]
56.24
(159)
[-0.787]
23.38
(162)
[0.420]
66.85
(153)
[-0.500]
10.68
(168)
[0.117]
21.23
(129)
[-0.059]
67.54
(150)
[-0.319]
15.19
(143)
[0.069]
50.96
(160)
[-0.794]
44.46
(160)
[-1.013]
59.81
(159)
[-0.816]
61.42
(166)
[-0.825]
72.27
(140)
[-0.125]
54.02
(177)
[-1.397]
9.82
(155)
[0.045]
 149.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  81.21 
 (104.03) 
 [0.270] 
62.75
(93)
[0.346]
17.76
(147)
[-0.006]
7.70
(89)
[-0.382]
14.35
(123)
[-0.230]
15.36
(125)
[-0.185]
14.02
(99)
[-0.423]
35.38
(136)
[0.173]
74.28
(94)
[0.367]
81.55
(95)
[0.370]
88.21
(81)
[0.427]
18.45
(95)
[-0.370]
3.33
(113)
[-0.227]
82.45
(93)
[0.419]
75.57
(90)
[0.408]
4.06
(60)
[-0.284]
83.55
(92)
[0.420]
15.59
(137)
[-0.075]
11.65
(149)
[-0.054]
29.29
(100)
[-0.269]
25.35
(106)
[-0.253]
81.55
(95)
[0.370]
73.88
(98)
[0.264]
75.44
(97)
[0.343]
13.50
(97)
[-0.273]
82.38
(75)
[0.454]
6.89
(113)
[-0.165]
18.54
(111)
[-0.252]
75.13
(118)
[0.159]
9.59
(105)
[-0.293]
72.07
(98)
[0.303]
66.36
(97)
[0.282]
78.16
(98)
[0.306]
78.70
(97)
[0.282]
80.42
(104)
[0.332]
78.10
(126)
[0.078]
6.04
(99)
[-0.232]
 150.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.33 
 (65.56) 
 [0.543] 
75.97
(38)
[0.934]
3.38
(27)
[-0.753]
5.53
(54)
[-0.493]
11.82
(95)
[-0.351]
11.49
(92)
[-0.369]
9.12
(59)
[-0.659]
9.34
(50)
[-0.729]
80.26
(51)
[0.701]
88.09
(39)
[0.762]
88.19
(83)
[0.425]
11.91
(39)
[-0.762]
2.47
(83)
[-0.289]
87.40
(45)
[0.703]
82.46
(42)
[0.694]
2.99
(39)
[-0.362]
87.76
(48)
[0.668]
15.08
(132)
[-0.110]
11.74
(150)
[-0.048]
22.40
(50)
[-0.677]
19.06
(53)
[-0.629]
88.09
(39)
[0.762]
81.58
(43)
[0.725]
80.94
(53)
[0.667]
10.34
(60)
[-0.494]
84.38
(57)
[0.577]
5.70
(94)
[-0.254]
18.70
(115)
[-0.242]
79.19
(96)
[0.415]
6.59
(57)
[-0.487]
79.28
(60)
[0.677]
72.37
(61)
[0.638]
83.49
(60)
[0.633]
83.62
(62)
[0.597]
82.61
(96)
[0.455]
84.89
(60)
[0.494]
5.09
(78)
[-0.301]
f1 f2 f3 f4 AVG
RANK
NORM
CS
54.97
±22.49
OS
17.86
±19.23
US
15.17
±19.55
ME
19.20
±21.05
NE
19.25
±21.03
O
22.79
±20.75
C
30.38
±28.85
CA
67.72
±17.90
CO
75.38
±16.68
CC
80.96
±17.00
I
24.62
±16.68
II
6.54
±14.12
EA
75.12
±17.48
MS
65.71
±24.16
RM
8.00
±13.84
CI
76.44
±16.94
GCE
16.67
±14.39
criterion 'LCE' (local consistency error) in ascending orderLCE
12.43
±14.29
BCE
33.82
±16.87
GBCE
29.58
±16.71
BGM
75.38
±16.68
SC
69.46
±16.70
SSC
69.61
±16.99
VD
17.39
±14.28
L
74.99
±16.28
AVI
9.11
±13.45
NVI
22.06
±13.92
NMI
72.61
±15.88
M
14.12
±15.47
ARI
66.24
±19.24
JC
61.59
±16.91
DC
73.15
±16.35
FMI
74.30
±15.61
WI
74.50
±17.82
WII
76.83
±16.33
NBDE
9.21
±13.67
 151.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  86.31 
 (62.86) 
 [0.546] 
72.28
(49)
[0.770]
1.12
(20)
[-0.871]
0.69
(22)
[-0.741]
21.74
(144)
[0.121]
21.80
(143)
[0.121]
8.38
(52)
[-0.694]
6.85
(28)
[-0.816]
81.53
(41)
[0.772]
88.24
(35)
[0.771]
90.87
(58)
[0.583]
11.76
(35)
[-0.771]
2.09
(65)
[-0.315]
88.43
(38)
[0.762]
82.36
(44)
[0.689]
3.02
(40)
[-0.360]
88.90
(40)
[0.736]
15.84
(139)
[-0.058]
11.84
(151)
[-0.041]
21.69
(47)
[-0.719]
17.69
(45)
[-0.711]
88.24
(35)
[0.771]
81.35
(45)
[0.712]
81.75
(46)
[0.715]
10.84
(76)
[-0.459]
85.63
(47)
[0.653]
5.52
(90)
[-0.267]
18.38
(106)
[-0.264]
80.12
(85)
[0.473]
6.29
(46)
[-0.506]
79.60
(57)
[0.694]
73.12
(55)
[0.682]
83.59
(59)
[0.638]
83.63
(61)
[0.597]
83.90
(76)
[0.528]
83.44
(92)
[0.405]
4.48
(51)
[-0.346]
 152.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (155.28) 
 [-1.137] 
17.54
(178)
[-1.664]
52.99
(177)
[1.827]
0.00
(1)
[-0.776]
30.29
(162)
[0.527]
34.59
(168)
[0.730]
64.37
(186)
[2.003]
100.00
(189)
[2.413]
38.26
(180)
[-1.646]
40.46
(187)
[-2.094]
92.77
(32)
[0.695]
59.54
(187)
[2.094]
1.28
(10)
[-0.373]
48.85
(179)
[-1.503]
37.89
(174)
[-1.151]
3.74
(53)
[-0.307]
55.96
(172)
[-1.209]
13.12
(111)
[-0.247]
11.91
(152)
[-0.036]
69.24
(187)
[2.099]
68.03
(188)
[2.301]
40.46
(187)
[-2.094]
31.85
(187)
[-2.252]
38.40
(185)
[-1.836]
34.18
(180)
[1.176]
51.81
(178)
[-1.423]
17.88
(186)
[0.652]
25.68
(155)
[0.261]
60.66
(162)
[-0.752]
16.10
(149)
[0.128]
35.27
(178)
[-1.610]
28.30
(187)
[-1.969]
41.55
(186)
[-1.933]
48.37
(181)
[-1.661]
85.00
(65)
[0.589]
30.21
(189)
[-2.855]
10.65
(162)
[0.106]
 153.  scarpa's TFR  [normal] 0 1 0 0  73.61 
 (136.42) 
 [-0.175] 
46.13
(132)
[-0.393]
2.37
(24)
[-0.806]
23.99
(161)
[0.451]
26.70
(151)
[0.357]
25.23
(149)
[0.285]
28.73
(142)
[0.286]
12.50
(63)
[-0.620]
61.32
(140)
[-0.357]
73.00
(134)
[-0.143]
68.91
(160)
[-0.709]
27.00
(134)
[0.143]
8.56
(168)
[0.143]
68.62
(144)
[-0.372]
59.76
(140)
[-0.246]
8.61
(157)
[0.045]
69.73
(149)
[-0.396]
15.51
(135)
[-0.080]
12.03
(153)
[-0.028]
37.29
(133)
[0.205]
33.80
(138)
[0.253]
73.00
(134)
[-0.143]
68.48
(121)
[-0.059]
64.83
(139)
[-0.281]
18.21
(138)
[0.058]
68.54
(149)
[-0.396]
7.73
(136)
[-0.103]
25.28
(153)
[0.232]
68.13
(148)
[-0.282]
17.47
(155)
[0.217]
57.90
(146)
[-0.434]
55.57
(139)
[-0.356]
68.82
(140)
[-0.265]
70.72
(142)
[-0.229]
61.21
(157)
[-0.746]
84.40
(75)
[0.464]
8.05
(132)
[-0.085]
 154.  1354884112@qq.com's ltsparse   [large] 0 0 0 0  87.14 
 (58.39) 
 [0.591] 
75.80
(39)
[0.926]
0.24
(10)
[-0.916]
0.00