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=525
dc=29.112181333333336
Clustering
AGNES 0.0 method=complete
metric=euclidean
k=537
Clustering
c-Means 0.0 k=1017
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=897 Clustering
DIANA 0.0 metric=euclidean
k=1046
Clustering
DBSCAN 0.0 eps=37.84583573333334
MinPts=838
Clustering
Hierarchical Clustering 0.0 method=complete
k=666
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=35
d=0.7333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=32.751204
maxits=3500
convits=200
Clustering
Markov Clustering 0.198 I=9.875275275275275 Clustering
Transitivity Clustering 0.0 T=20.194936600600602 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering