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=8
dc=0.9604461459471602
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=102
Clustering
c-Means 0.0 k=102
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=102 Clustering
DIANA 0.0 metric=euclidean
k=102
Clustering
DBSCAN 0.613 eps=0.9325257783804497
MinPts=63
Clustering
Hierarchical Clustering 0.0 method=complete
k=101
Clustering
fanny 0.523 k=48
membexp=1.1
Clustering
clusterONE 0.613 s=11
d=0.4
Clustering
Affinity Propagation 0.578 dampfact=0.9175
preference=0.9650995405416121
maxits=2750
convits=500
Clustering
Markov Clustering 0.613 I=9.83073073073073 Clustering
Transitivity Clustering 0.0 T=0.9997205168411744 Clustering