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=0.959180324770674
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=67
Clustering
c-Means 0.0 k=287
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=59 Clustering
DIANA 0.0 metric=euclidean
k=54
Clustering
DBSCAN 0.0 eps=0.6938524357800555
MinPts=273
Clustering
Hierarchical Clustering 0.0 method=average
k=51
Clustering
fanny 0.0 k=18
membexp=2.0
Clustering
clusterONE 0.446 s=215
d=0.2
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.6938524357800555
maxits=2750
convits=425
Clustering
Markov Clustering 0.446 I=5.696996996996998 Clustering
Transitivity Clustering 0.0 T=0.7162235791114429 Clustering