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 0.583 k=4 Clustering
clusterdp 0.975 k=5
dc=0.967426237838838
Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=1
Clustering
c-Means 0.854 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.951 k=2 Clustering
DIANA 1.0 metric=euclidean
k=27
Clustering
DBSCAN 1.0 eps=0.9930199081083226
MinPts=94
Clustering
Hierarchical Clustering 0.975 method=average
k=3
Clustering
fanny 1.0 k=2
membexp=5.0
Clustering
clusterONE 1.0 s=49
d=1.0
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.9650995405416121
maxits=2000
convits=275
Clustering
Markov Clustering 1.0 I=7.362962962962963 Clustering
Transitivity Clustering 1.0 T=0.9401207332215443 Clustering