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=12.945193807532165
chang_pathbased
1.0
T=4.222833030714308
ppi_mips
1.0
T=0.014014014014014014
chang_spiral
1.0
T=1.8809617583181684
astral_40_strsim
1.0
T=0.17484793593593595
astral_40_seqsim_beh
0.985
T=4.28514703719763
fraenti_s3
1.0
T=445508.64813733747
bone_marrow_fixLabels
1.0
T=0.004275507285685941
fu_flame
1.0
T=0.41365087087895136
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=0.9057716990732013
gionis_aggregation
1.0
T=5.944710218301611
veenman_r15
1.0
T=6.783210089664474
zahn_compound
1.0
T=7.95277514950124
synthetic_spirals
1.0
T=0.7194234234234235
synthetic_cassini
1.0
T=0.2587283325412708
twonorm_100d
1.0
T=1.2030665696745124
twonorm_50d
1.0
T=2.0435169363097625
synthetic_cuboid
1.0
T=0.1757008964651599
astral1_161
0.996
T=4.1832667178302945
tcga
1.0
T=0.451447307353653
bone_marrow
1.0
T=0.0794022781627389
zachary
1.0
T=0.014014014014014014