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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
0.999
T=55.340703527200006
chang_pathbased
0.871
T=21.642019282410825
ppi_mips
0.996
T=0.5425425425425425
chang_spiral
0.72
T=25.423321830171368
astral_40_strsim
0.997
T=8.174141005005005
astral_40_seqsim_beh
0.993
T=1.7372217718368772
fraenti_s3
0.963
T=967791.8448614491
bone_marrow_fixLabels
0.974
T=0.2730216795288022
fu_flame
0.769
T=8.228697681413424
coli_state
0.619
T=0.9967449752999117
coli_find
0.874
T=0.9992718131600226
coli_need
0.614
T=0.9997205168411744
coli_time
0.736
T=0.9996153946900949
gionis_aggregation
0.996
T=28.557921636939113
veenman_r15
0.999
T=12.603371833265474
zahn_compound
0.934
T=30.08063563491904
synthetic_spirals
0.527
T=2.924108108108108
synthetic_cassini
0.871
T=2.6186443354177107
twonorm_100d
0.604
T=4.520613776958774
twonorm_50d
0.748
T=4.572185375484433
synthetic_cuboid
0.971
T=0.991455058624831
astral1_161
0.91
T=7.320716756203014
tcga
0.975
T=0.5298995360226277
bone_marrow
0.913
T=0.25591965038605846
zachary
1.0
T=0.09109109109109109