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=1046 Clustering
clusterdp 0.0 k=1014
dc=26.2009632
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=780
Clustering
c-Means 0.0 k=816
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=994 Clustering
DIANA 0.0 metric=euclidean
k=866
Clustering
DBSCAN 0.0 eps=13.1004816
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=complete
k=433
Clustering
fanny 0.0 k=213
membexp=1.1
Clustering
clusterONE 1.0 s=245
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=43.668272
maxits=2000
convits=500
Clustering
Markov Clustering 0.001 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=25.833782534534535 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering