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=104 Clustering
clusterdp 0.609 k=18
dc=0.9976733027027743
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=101
Clustering
DBSCAN 0.613 eps=0.9348524756776756
MinPts=14
Clustering
Hierarchical Clustering 0.0 method=complete
k=103
Clustering
fanny 0.523 k=48
membexp=1.1
Clustering
clusterONE 0.613 s=59
d=0.23333333333333334
Clustering
Affinity Propagation 0.578 dampfact=0.845
preference=0.9650995405416121
maxits=4250
convits=200
Clustering
Markov Clustering 0.613 I=9.83073073073073 Clustering
Transitivity Clustering 0.0 T=0.9997205168411744 Clustering