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=17
dc=0.9387704871560112
Clustering
AGNES 0.0 method=average
metric=euclidean
k=164
Clustering
c-Means 0.0 k=251
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=54 Clustering
DIANA 0.0 metric=euclidean
k=223
Clustering
DBSCAN 0.0 eps=0.6734425981653925
MinPts=273
Clustering
Hierarchical Clustering 0.0 method=average
k=126
Clustering
fanny 0.0 k=105
membexp=5.0
Clustering
clusterONE 0.446 s=224
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.6938524357800555
maxits=3500
convits=200
Clustering
Markov Clustering 0.446 I=6.00880880880881 Clustering
Transitivity Clustering 0.0 T=0.6310293620412281 Clustering