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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=1.6181492259415207
chang_pathbased
1.0
T=6.27559908731154
ppi_mips
1.0
T=0.004004004004004004
chang_spiral
1.0
T=3.54955686650364
astral_40_strsim
1.0
T=0.17484793593593595
astral_40_seqsim_beh
0.985
T=4.28514703719763
fraenti_s3
1.0
T=32439.950107087676
bone_marrow_fixLabels
1.0
T=0.11360633644822643
fu_flame
1.0
T=0.6204763063184271
coli_state
1.0
T=0.8921019590155825
coli_find
1.0
T=0.9364656982119548
coli_need
1.0
T=0.9499725145701584
coli_time
1.0
T=0.8728238441913138
gionis_aggregation
1.0
T=1.9815700727672036
veenman_r15
1.0
T=10.37021624819075
zahn_compound
1.0
T=4.970484468438275
synthetic_spirals
1.0
T=0.8387747747747748
synthetic_cassini
1.0
T=0.4390541400700354
twonorm_100d
1.0
T=0.01822828135870473
twonorm_50d
1.0
T=1.8523966473023745
synthetic_cuboid
1.0
T=0.49259001330410906
astral1_161
0.996
T=4.1832667178302945
tcga
1.0
T=0.43673751447822023
bone_marrow
1.0
T=0.1368162331419501
zachary
1.0
T=0.09109109109109109