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 0.614 k=103 Clustering
clusterdp 0.478 k=25
dc=0.9301990810832238
Clustering
AGNES 0.614 method=weighted
metric=euclidean
k=93
Clustering
c-Means 0.614 k=81
m=5.0
Clustering
k-Medoids (PAM) 0.614 k=94 Clustering
DIANA 0.614 metric=euclidean
k=101
Clustering
DBSCAN 0.387 eps=0.9301990810832238
MinPts=14
Clustering
Hierarchical Clustering 0.614 method=complete
k=101
Clustering
fanny 0.613 k=26
membexp=1.1
Clustering
clusterONE 0.387 s=7
d=0.3
Clustering
Affinity Propagation 0.613 dampfact=0.845
preference=1.0000000000000002
maxits=2000
convits=275
Clustering
Markov Clustering 0.387 I=4.084484484484484 Clustering
Transitivity Clustering 0.614 T=0.9996506460514678 Clustering