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=11
dc=0.9418325675693532
Clustering
AGNES 0.0 method=flexible
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=0.9627728432443861
MinPts=66
Clustering
Hierarchical Clustering 0.0 method=average
k=103
Clustering
fanny 0.523 k=48
membexp=1.1
Clustering
clusterONE 0.613 s=84
d=0.3
Clustering
Affinity Propagation 0.578 dampfact=0.845
preference=0.9650995405416121
maxits=2000
convits=200
Clustering
Markov Clustering 0.613 I=2.0532532532532537 Clustering
Transitivity Clustering 0.0 T=0.9995807752617613 Clustering