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=104 Clustering
clusterdp 0.548 k=8
dc=0.9906932108110967
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=102
Clustering
c-Means 0.0 k=81
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=103 Clustering
DIANA 0.0 metric=euclidean
k=102
Clustering
DBSCAN 1.0 eps=0.967426237838838
MinPts=91
Clustering
Hierarchical Clustering 0.0 method=complete
k=103
Clustering
fanny 0.0 k=26
membexp=1.1
Clustering
clusterONE 1.0 s=42
d=0.1
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.9825497702708061
maxits=5000
convits=500
Clustering
Markov Clustering 1.0 I=4.93083083083083 Clustering
Transitivity Clustering 0.0 T=0.9998602584205872 Clustering