Clust
Eval
clustering evaluation framework
Welcome
Overview
Clustering Methods
Data Sets
Measures
Submit
Advanced
Help
About us
Location:
Clustering Methods
»
Transitivity Clustering
»
Best Parameters
Navigation:
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=5.178077523012866
chang_pathbased
1.0
T=6.27559908731154
ppi_mips
1.0
T=0.014014014014014014
chang_spiral
1.0
T=7.5238470332726735
astral_40_strsim
1.0
T=0.17484793593593595
astral_40_seqsim_beh
0.985
T=4.28514703719763
fraenti_s3
1.0
T=29195.95509637891
bone_marrow_fixLabels
1.0
T=0.11360633644822643
fu_flame
1.0
T=0.6500227970954949
coli_state
1.0
T=0.8898113860784831
coli_find
1.0
T=0.942018122866784
coli_need
1.0
T=0.9499725145701584
coli_time
1.0
T=0.8801313450795144
gionis_aggregation
1.0
T=0.8936492485028565
veenman_r15
1.0
T=2.0237972489739686
zahn_compound
1.0
T=10.125060954226116
synthetic_spirals
1.0
T=1.0012252252252252
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=0.45451184753603485
bone_marrow
1.0
T=0.08123463842803287
zachary
1.0
T=0.09109109109109109