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 0.595 k=4 Clustering
clusterdp 0.733 k=2
dc=0.9301990810832238
Clustering
AGNES 0.739 method=average
metric=euclidean
k=1
Clustering
c-Means 0.703 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.728 k=2 Clustering
DIANA 0.739 metric=euclidean
k=1
Clustering
DBSCAN 0.739 eps=0.9301990810832238
MinPts=14
Clustering
Hierarchical Clustering 0.733 method=average
k=3
Clustering
fanny 0.739 k=2
membexp=5.0
Clustering
clusterONE 0.739 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.739 dampfact=0.7
preference=0.9301990810832238
maxits=2000
convits=200
Clustering
Markov Clustering 0.739 I=1.108908908908909 Clustering
Transitivity Clustering 0.739 T=0.9311074013494081 Clustering