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=39.1592112677848
chang_pathbased
1.0
T=0.6158298169791698
ppi_mips
1.0
T=0.014014014014014014
chang_spiral
1.0
T=8.069932705042463
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=1.5068710296304657
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=2.1722858047248756
synthetic_spirals
1.0
T=1.220036036036036
synthetic_cassini
1.0
T=0.9643510576538277
twonorm_100d
1.0
T=1.1848382883158075
twonorm_50d
1.0
T=1.5730669941377309
synthetic_cuboid
1.0
T=0.4235646611213677
astral1_161
0.996
T=4.1832667178302945
tcga
1.0
T=0.4692216404114676
bone_marrow
1.0
T=0.145367247713322
zachary
1.0
T=0.014014014014014014