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=27.656572266666668
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=818
Clustering
c-Means 0.0 k=1027
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=639 Clustering
DIANA 0.0 metric=euclidean
k=661
Clustering
DBSCAN 0.0 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.0 method=average
k=455
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=1013
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=43.668272
maxits=5000
convits=275
Clustering
Markov Clustering 0.198 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=11.277691867867867 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering