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=323.3062153431158
chang_pathbased
1.0
T=28.064244516622168
ppi_mips
1.0
T=1.0
chang_spiral
1.0
T=28.790850139418414
astral_40_strsim
1.0
T=24.12901515915916
astral_40_seqsim_beh
1.0
T=104.92819501894739
fraenti_s3
0.999
T=1080250.3385660197
bone_marrow_fixLabels
1.0
T=0.36097497226291303
fu_flame
1.0
T=14.108449346049948
coli_state
1.0
T=0.9998794435296267
coli_find
1.0
T=1.0000000000000002
coli_need
1.0
T=0.9997903876308808
coli_time
1.0
T=0.9997435964600633
gionis_aggregation
1.0
T=37.99952021894755
veenman_r15
1.0
T=13.943265184310308
zahn_compound
1.0
T=35.750669769285665
synthetic_spirals
1.0
T=2.963891891891892
synthetic_cassini
1.0
T=3.516353246810908
twonorm_100d
1.0
T=13.379558517289274
twonorm_50d
1.0
T=7.189063178816358
synthetic_cuboid
1.0
T=1.1906873251522891
astral1_161
1.0
T=93.42629003154325
tcga
1.0
T=0.8296115658595705
bone_marrow
1.0
T=0.6034573140368156
zachary
1.0
T=1.7377377377377377