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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=38.8355814225965
chang_pathbased
1.0
T=11.788742210744108
ppi_mips
1.0
T=0.004004004004004004
chang_spiral
1.0
T=6.340661411104794
astral_40_strsim
1.0
T=0.17484793593593595
astral_40_seqsim_beh
0.985
T=4.28514703719763
fraenti_s3
1.0
T=218428.9973877237
bone_marrow_fixLabels
1.0
T=0.04519821987725138
fu_flame
1.0
T=3.131928022369203
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=4.602300433739144
synthetic_spirals
1.0
T=0.7989909909909911
synthetic_cassini
1.0
T=0.7801051238744378
twonorm_100d
1.0
T=0.34633734581538994
twonorm_50d
1.0
T=2.30814502878153
synthetic_cuboid
1.0
T=0.8816419983341061
astral1_161
0.996
T=4.1832667178302945
tcga
1.0
T=0.4557376636089876
bone_marrow
1.0
T=0.10444453512175655
zachary
1.0
T=0.014014014014014014