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 0.067 k=278 Clustering
clusterdp 0.017 k=18
dc=0.8367212990826963
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=164
Clustering
c-Means 0.0 k=275
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=133 Clustering
DIANA 0.0 metric=euclidean
k=47
Clustering
DBSCAN 0.0 eps=0.6938524357800555
MinPts=273
Clustering
Hierarchical Clustering 0.0 method=complete
k=17
Clustering
fanny 0.0 k=141
membexp=1.1
Clustering
clusterONE 0.446 s=176
d=0.3
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.6938524357800555
maxits=4250
convits=275
Clustering
Markov Clustering 0.446 I=8.182582582582583 Clustering
Transitivity Clustering 0.0 T=0.5599320298099697 Clustering