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 0.403 k=6 Clustering
clusterdp 0.404 k=9
dc=0.9615779295404605
Clustering
AGNES 0.404 method=weighted
metric=euclidean
k=9
Clustering
c-Means 0.398 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.387 k=2 Clustering
DIANA 0.404 metric=euclidean
k=4
Clustering
DBSCAN 0.403 eps=0.9615779295404605
MinPts=137
Clustering
Hierarchical Clustering 0.404 method=complete
k=9
Clustering
fanny 0.404 k=26
membexp=5.0
Clustering
clusterONE 0.403 s=460
d=0.13333333333333333
Clustering
Affinity Propagation 0.349 dampfact=0.9175
preference=0.8719264318015347
maxits=3500
convits=425
Clustering
Markov Clustering 0.403 I=3.6034034034034037 Clustering
Transitivity Clustering 0.403 T=0.8944899433159791 Clustering
MCODE 0.382 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering