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 0.064 k=11 Clustering
clusterdp 0.0 k=8
dc=1.1666666666666667
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=33
Clustering
c-Means 0.0 k=2
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=18 Clustering
DIANA 0.0 metric=euclidean
k=16
Clustering
DBSCAN 0.0 eps=6.3
MinPts=10
Clustering
Hierarchical Clustering 0.0 method=single
k=11
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=2000
convits=350
Clustering
Markov Clustering 0.0 I=3.8973973973973974 Clustering
Transitivity Clustering 0.0 T=0.8618618618618619 Clustering