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=190 Clustering
clusterdp 0.67 k=2
dc=0.963869225829017
Clustering
AGNES 0.0 method=single
metric=euclidean
k=171
Clustering
c-Means 0.0 k=33
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=188 Clustering
DIANA 0.0 metric=euclidean
k=171
Clustering
DBSCAN 1.0 eps=0.9197093907311485
MinPts=76
Clustering
Hierarchical Clustering 0.0 method=average
k=169
Clustering
fanny 0.0 k=41
membexp=5.0
Clustering
clusterONE 1.0 s=108
d=0.9666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=4250
convits=500
Clustering
Markov Clustering 1.0 I=1.2425425425425427 Clustering
Transitivity Clustering 0.0 T=0.999758887059253 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering