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 0.062 k=34 Clustering
clusterdp 0.391 k=13
dc=301.82269369145575
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=141
Clustering
c-Means 0.0 k=466
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=419 Clustering
DIANA 0.0 metric=euclidean
k=184
Clustering
DBSCAN 0.0 eps=290.21412854947664
MinPts=405
Clustering
Hierarchical Clustering 0.0 method=complete
k=351
Clustering
fanny 0.076 k=157
membexp=5.0
Clustering
clusterONE 0.831 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=261.192715694529
maxits=2000
convits=275
Clustering
Markov Clustering 0.388 I=9.946546546546546 Clustering
Transitivity Clustering 0.0 T=34.16334486228073 Clustering