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 0.473 k=4 Clustering
clusterdp 0.612 k=2
dc=0.9301990810832238
Clustering
AGNES 0.622 method=average
metric=euclidean
k=1
Clustering
c-Means 0.573 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.605 k=3 Clustering
DIANA 0.622 metric=euclidean
k=1
Clustering
DBSCAN 0.622 eps=0.9301990810832238
MinPts=14
Clustering
Hierarchical Clustering 0.612 method=average
k=3
Clustering
fanny 0.623 k=9
membexp=5.0
Clustering
clusterONE 0.622 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.622 dampfact=0.7
preference=0.9301990810832238
maxits=2000
convits=200
Clustering
Markov Clustering 0.622 I=1.108908908908909 Clustering
Transitivity Clustering 0.622 T=0.9311074013494081 Clustering