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clustering evaluation framework
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Transitivity Clustering
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Best Parameters
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General
Best Qualities
Best Parameters
Hints:
Which parameter sets lead to the optimal clustering quality?
Please choose a clustering quality measure:
Davies Bouldin Index (R)
Dunn Index (R)
F1-Score
F2-Score
False Discovery Rate
False Positive Rate
Fowlkes Mallows Index (R)
Jaccard Index (R)
Rand Index
Rand Index (R)
Sensitivity
Silhouette Value (R)
Specificity
V-Measure
Dataset
Best quality
Parameter set
brown
0.987
T=40.45373064853801
chang_pathbased
0.732
T=14.662614689980234
ppi_mips
0.92
T=0.5985985985985987
chang_spiral
0.714
T=5.764237646458902
astral_40_strsim
0.844
T=4.808318238238239
astral_40_seqsim_beh
0.653
T=1.505592202258627
fraenti_s3
0.82
T=967791.8448614491
bone_marrow_fixLabels
0.979
T=0.2754648265491942
fu_flame
0.841
T=0.23637192621654363
coli_state
0.698
T=0.8837835625598006
coli_find
0.395
T=0.9783364415106668
coli_need
0.739
T=0.943823885075988
coli_time
0.597
T=0.9119253840316861
gionis_aggregation
0.984
T=28.713338897548304
veenman_r15
0.997
T=12.57545738845204
zahn_compound
0.883
T=28.386989075303035
synthetic_spirals
0.833
T=0.7890450450450451
synthetic_cassini
0.867
T=1.8542197165457743
twonorm_100d
0.833
T=2.0780240748923395
twonorm_50d
0.833
T=0.4704499421720316
synthetic_cuboid
0.943
T=0.9930238166289842
astral1_161
0.719
T=2.4402389187343383
tcga
0.984
T=0.5323511681685332
bone_marrow
0.926
T=0.25775201065135245
zachary
1.0
T=0.09109109109109109