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 0.844 k=644 Clustering
clusterdp 0.0 k=385
dc=20.378526933333333
Clustering
AGNES 0.0 method=single
metric=euclidean
k=1023
Clustering
c-Means 0.0 k=1027
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=806 Clustering
DIANA 0.0 metric=euclidean
k=769
Clustering
DBSCAN 0.0 eps=40.757053866666666
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=average
k=890
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=943
d=0.6666666666666666
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=43.668272
maxits=3500
convits=200
Clustering
Markov Clustering 0.198 I=9.821821821821821 Clustering
Transitivity Clustering 0.0 T=36.8492024984985 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering