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
0.998
T=47.5735872426807
chang_pathbased
0.783
T=21.642019282410825
ppi_mips
0.898
T=0.5985985985985987
chang_spiral
0.576
T=12.377941893448591
astral_40_strsim
0.824
T=8.174141005005005
astral_40_seqsim_beh
0.633
T=1.8530365566260023
fraenti_s3
0.709
T=967791.8448614491
bone_marrow_fixLabels
0.964
T=0.2724108927737043
fu_flame
0.757
T=8.228697681413424
coli_state
0.625
T=0.9189860519089067
coli_find
0.357
T=0.9573100465063136
coli_need
0.622
T=0.9354393903112099
coli_time
0.513
T=0.9025666548239905
gionis_aggregation
0.99
T=28.324795746025323
veenman_r15
0.993
T=12.533585721231887
zahn_compound
0.88
T=30.08063563491904
synthetic_spirals
0.706
T=0.5138738738738738
synthetic_cassini
0.805
T=1.8346190852926478
twonorm_100d
0.705
T=2.6248725156534816
twonorm_50d
0.707
T=4.572185375484433
synthetic_cuboid
0.942
T=0.9977300906414439
astral1_161
0.677
T=7.320716756203014
tcga
0.977
T=0.5317382601320568
bone_marrow
0.879
T=0.25775201065135245
zachary
1.0
T=0.11211211211211211