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 0.301 k=4 Clustering
clusterdp 0.381 k=2
dc=0.9301990810832238
Clustering
AGNES 0.387 method=average
metric=euclidean
k=1
Clustering
c-Means 0.361 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.381 k=3 Clustering
DIANA 0.387 metric=euclidean
k=1
Clustering
DBSCAN 0.387 eps=0.9581194486499344
MinPts=63
Clustering
Hierarchical Clustering 0.381 method=single
k=4
Clustering
fanny 0.39 k=9
membexp=5.0
Clustering
clusterONE 0.387 s=84
d=0.6666666666666666
Clustering
Affinity Propagation 0.387 dampfact=0.7
preference=0.9476493108124179
maxits=4250
convits=350
Clustering
Markov Clustering 0.387 I=5.01991991991992 Clustering
Transitivity Clustering 0.387 T=0.9478065200892575 Clustering