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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
0.986
T=50.16262600418713
chang_pathbased
0.73
T=21.642019282410825
ppi_mips
0.881
T=0.5825825825825826
chang_spiral
0.5
T=7.766551776281469
astral_40_strsim
0.84
T=6.731645533533533
astral_40_seqsim_beh
0.714
T=1.8530365566260023
fraenti_s3
0.835
T=967791.8448614491
bone_marrow_fixLabels
0.986
T=0.26752459873292034
fu_flame
0.866
T=8.228697681413424
coli_state
0.53
T=0.9340556107056132
coli_find
0.235
T=0.9816132822905659
coli_need
0.55
T=0.9407495703289027
coli_time
0.403
T=0.9225661309390661
gionis_aggregation
0.975
T=30.694908970315506
veenman_r15
0.997
T=12.645243500485623
zahn_compound
0.848
T=30.08063563491904
synthetic_spirals
0.667
T=0.43099099099099103
synthetic_cassini
0.885
T=2.6186443354177107
twonorm_100d
0.667
T=0.01822828135870473
twonorm_50d
0.827
T=4.572185375484433
synthetic_cuboid
0.961
T=0.9977300906414439
astral1_161
0.732
T=0.6972111196383823
tcga
0.986
T=0.5446093288980605
bone_marrow
0.933
T=0.27485403979409617
zachary
1.0
T=0.11211211211211211