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=419 Clustering
clusterdp 0.876 k=25
dc=0.9424095232932719
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=420
Clustering
c-Means 0.0 k=420
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=419 Clustering
DIANA 0.0 metric=euclidean
k=418
Clustering
DBSCAN 1.0 eps=0.9484716787360855
MinPts=182
Clustering
Hierarchical Clustering 0.0 method=complete
k=418
Clustering
fanny 0.0 k=149
membexp=2.0
Clustering
clusterONE 1.0 s=252
d=0.9333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=275
Clustering
Markov Clustering 1.0 I=6.721521521521523 Clustering
Transitivity Clustering 0.0 T=1.0000000000000002 Clustering
MCODE 0.266 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering