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
0.996
T=47.5735872426807
chang_pathbased
0.626
T=21.642019282410825
ppi_mips
0.808
T=0.5925925925925926
chang_spiral
0.331
T=9.586837348847437
astral_40_strsim
0.684
T=8.174141005005005
astral_40_seqsim_beh
0.418
T=1.8530365566260023
fraenti_s3
0.548
T=967791.8448614491
bone_marrow_fixLabels
0.929
T=0.2724108927737043
fu_flame
0.593
T=8.228697681413424
coli_state
0.392
T=0.9189860519089067
coli_find
0.127
T=0.9573100465063136
coli_need
0.387
T=0.9354393903112099
coli_time
0.264
T=0.9025666548239905
gionis_aggregation
0.98
T=28.985319103614394
veenman_r15
0.987
T=12.701072390112492
zahn_compound
0.782
T=30.08063563491904
synthetic_spirals
0.498
T=1.1603603603603605
synthetic_cassini
0.657
T=1.8542197165457743
twonorm_100d
0.497
T=2.314991732555501
twonorm_50d
0.522
T=4.572185375484433
synthetic_cuboid
0.887
T=0.991455058624831
astral1_161
0.5
T=0.6972111196383823
tcga
0.956
T=0.5317382601320568
bone_marrow
0.782
T=0.26569223846762635
zachary
1.0
T=0.11211211211211211