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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
1.0
T=0.6472596903766082
chang_pathbased
1.0
T=8.973520190267903
ppi_mips
1.0
T=0.014014014014014014
chang_spiral
1.0
T=0.39439520738929335
astral_40_strsim
1.0
T=0.17484793593593595
astral_40_seqsim_beh
0.985
T=4.28514703719763
fraenti_s3
1.0
T=469297.9448825351
bone_marrow_fixLabels
1.0
T=0.04519821987725138
fu_flame
1.0
T=2.555771452216378
coli_state
1.0
T=0.9034342672307057
coli_find
1.0
T=0.9220840081223973
coli_need
1.0
T=0.9421469861230324
coli_time
1.0
T=0.9124381911115599
gionis_aggregation
1.0
T=18.028402230666327
veenman_r15
1.0
T=8.709306781791424
zahn_compound
1.0
T=22.31195250276737
synthetic_spirals
1.0
T=0.881873873873874
synthetic_cassini
1.0
T=0.7565843663706859
twonorm_100d
1.0
T=1.4764907900550834
twonorm_50d
1.0
T=2.484563757096042
synthetic_cuboid
1.0
T=0.05176901413705605
astral1_161
0.996
T=4.1832667178302945
tcga
1.0
T=0.4618667439737512
bone_marrow
1.0
T=0.0794022781627389
zachary
1.0
T=0.014014014014014014