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 0.003 k=28 Clustering
clusterdp 0.0 k=21
dc=0.9333333333333333
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=28
Clustering
c-Means 0.0 k=6
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=8 Clustering
DIANA 0.0 metric=euclidean
k=9
Clustering
DBSCAN 0.0 eps=2.8
MinPts=5
Clustering
Hierarchical Clustering 0.0 method=single
k=34
Clustering
fanny 0.0 k=2
membexp=2.0
Clustering
clusterONE 0.0 s=4
d=0.03333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=7.0
maxits=2000
convits=350
Clustering
Markov Clustering 0.0 I=9.982182182182182 Clustering
Transitivity Clustering 0.0 T=3.181181181181181 Clustering