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=103 Clustering
clusterdp 0.609 k=10
dc=0.9371791729749014
Clustering
AGNES 0.0 method=average
metric=euclidean
k=102
Clustering
c-Means 0.0 k=102
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=101 Clustering
DIANA 0.0 metric=euclidean
k=105
Clustering
DBSCAN 0.613 eps=0.9441592648665791
MinPts=4
Clustering
Hierarchical Clustering 0.0 method=single
k=104
Clustering
fanny 0.523 k=48
membexp=1.1
Clustering
clusterONE 0.613 s=53
d=0.6333333333333333
Clustering
Affinity Propagation 0.578 dampfact=0.99
preference=0.9650995405416121
maxits=3500
convits=500
Clustering
Markov Clustering 0.613 I=8.200400400400401 Clustering
Transitivity Clustering 0.0 T=0.9997205168411744 Clustering