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 NaN k=18 Clustering
clusterdp NaN k=2
dc=0.9301990810832238
Clustering
AGNES 0.791 method=complete
metric=euclidean
k=1
Clustering
c-Means 0.651 k=2
m=1.01
Clustering
k-Medoids (PAM) NaN k=2 Clustering
DIANA 0.78 metric=euclidean
k=4
Clustering
DBSCAN NaN eps=0.9301990810832238
MinPts=14
Clustering
Hierarchical Clustering NaN method=single
k=2
Clustering
fanny NaN k=8
membexp=5.0
Clustering
clusterONE NaN s=14
d=0.7
Clustering
Affinity Propagation NaN dampfact=0.7
preference=0.9301990810832238
maxits=2000
convits=200
Clustering
Markov Clustering NaN I=7.656956956956958 Clustering
Transitivity Clustering NaN T=0.9815541115174887 Clustering