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 0.0 k=291 Clustering
clusterdp 0.014 k=4
dc=0.8163114614680335
Clustering
AGNES 0.0 method=average
metric=euclidean
k=225
Clustering
c-Means 0.0 k=196
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=197 Clustering
DIANA 0.0 metric=euclidean
k=247
Clustering
DBSCAN 0.0 eps=0.7142622733947185
MinPts=244
Clustering
Hierarchical Clustering 0.0 method=complete
k=267
Clustering
fanny 0.0 k=93
membexp=1.1
Clustering
clusterONE 1.0 s=10
d=0.16666666666666666
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.8469262178900278
maxits=2000
convits=425
Clustering
Markov Clustering 1.0 I=3.933033033033033 Clustering
Transitivity Clustering 0.0 T=0.8149017729841377 Clustering