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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=14.691939919360196
ppi_mips
0.92
T=0.5925925925925926
chang_spiral
0.714
T=5.30916625331741
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=0.2565304371411565
fu_flame
0.841
T=2.6000911883819797
coli_state
0.698
T=0.8899319425488568
coli_find
0.395
T=0.9783364415106668
coli_need
0.739
T=0.9515795427334075
coli_time
0.597
T=0.8998744176546534
gionis_aggregation
0.984
T=28.985319103614394
veenman_r15
0.997
T=12.756901279739361
zahn_compound
0.883
T=28.42380747877295
synthetic_spirals
0.833
T=1.3957477477477478
synthetic_cassini
0.867
T=1.8659800952976504
twonorm_100d
0.833
T=0.10936968815222839
twonorm_50d
0.833
T=1.514260751366227
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=0.2601951576717444
zachary
1.0
T=0.09109109109109109