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=25
dc=0.9883665135138708
Clustering
AGNES 0.739 method=flexible
metric=euclidean
k=1
Clustering
c-Means 0.703 k=3
m=5.0
Clustering
k-Medoids (PAM) 0.728 k=2 Clustering
DIANA 0.739 metric=euclidean
k=5
Clustering
DBSCAN 0.739 eps=0.9325257783804497
MinPts=63
Clustering
Hierarchical Clustering 0.733 method=average
k=3
Clustering
fanny 0.739 k=3
membexp=5.0
Clustering
clusterONE 0.739 s=7
d=0.4666666666666667
Clustering
Affinity Propagation 0.739 dampfact=0.845
preference=0.9301990810832238
maxits=2000
convits=275
Clustering
Markov Clustering 0.739 I=1.491991991991992 Clustering
Transitivity Clustering 0.739 T=0.933413137409722 Clustering