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 1.0 k=189 Clustering
clusterdp 0.33 k=5
dc=0.8996367384139357
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=164
Clustering
c-Means 1.0 k=81
m=5.0
Clustering
k-Medoids (PAM) 1.0 k=172 Clustering
DIANA 1.0 metric=euclidean
k=174
Clustering
DBSCAN 0.0 eps=0.9237239211945912
MinPts=76
Clustering
Hierarchical Clustering 1.0 method=complete
k=177
Clustering
fanny 1.0 k=92
membexp=1.1
Clustering
clusterONE 0.0 s=120
d=0.13333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=1.0000000000000002
maxits=2000
convits=275
Clustering
Markov Clustering 0.0 I=9.42982982982983 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering