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 0.729 k=31 Clustering
clusterdp 0.321 k=3
dc=6.533333333333333
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=32
Clustering
c-Means 0.0 k=33
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=32 Clustering
DIANA 0.0 metric=euclidean
k=31
Clustering
DBSCAN 0.637 eps=4.9
MinPts=32
Clustering
Hierarchical Clustering 0.0 method=complete
k=33
Clustering
fanny 0.475 k=6
membexp=5.0
Clustering
clusterONE 0.837 s=4
d=0.13333333333333333
Clustering
Affinity Propagation 0.27 dampfact=0.99
preference=7.0
maxits=4250
convits=500
Clustering
Markov Clustering 0.708 I=4.057757757757758 Clustering
Transitivity Clustering 0.0 T=6.355355355355355 Clustering