Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.0 k=190 Clustering
clusterdp 0.67 k=23
dc=0.9839418781462299
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=173
Clustering
c-Means 0.0 k=182
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=163 Clustering
DIANA 0.0 metric=euclidean
k=175
Clustering
DBSCAN 1.0 eps=0.9478111039752466
MinPts=82
Clustering
Hierarchical Clustering 0.0 method=single
k=188
Clustering
fanny 0.0 k=91
membexp=1.1
Clustering
clusterONE 1.0 s=70
d=0.5
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9698910215241808
maxits=5000
convits=500
Clustering
Markov Clustering 1.0 I=3.0955955955955954 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=F
fluff=T
Clustering