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 0.583 k=4 Clustering
clusterdp 0.975 k=25
dc=0.9860398162166449
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=1
Clustering
c-Means 0.854 k=3
m=5.0
Clustering
k-Medoids (PAM) 0.951 k=2 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=0.9906932108110967
MinPts=105
Clustering
Hierarchical Clustering 0.975 method=average
k=3
Clustering
fanny 1.0 k=9
membexp=1.1
Clustering
clusterONE 1.0 s=73
d=0.8
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.9476493108124179
maxits=5000
convits=425
Clustering
Markov Clustering 1.0 I=7.354054054054055 Clustering
Transitivity Clustering 1.0 T=0.9487148403554417 Clustering