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 0.359 k=103 Clustering
clusterdp 0.192 k=25
dc=0.9301990810832238
Clustering
AGNES 0.359 method=average
metric=euclidean
k=102
Clustering
c-Means 0.358 k=102
m=1.01
Clustering
k-Medoids (PAM) 0.359 k=101 Clustering
DIANA 0.359 metric=euclidean
k=101
Clustering
DBSCAN 0.0 eps=0.9301990810832238
MinPts=14
Clustering
Hierarchical Clustering 0.359 method=complete
k=101
Clustering
fanny 0.356 k=26
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.356 dampfact=0.7
preference=1.0000000000000002
maxits=2750
convits=275
Clustering
Markov Clustering 0.0 I=1.108908908908909 Clustering
Transitivity Clustering 0.359 T=0.9996506460514678 Clustering