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 0.064 k=11 Clustering
clusterdp 0.0 k=9
dc=1.4
Clustering
AGNES 0.0 method=single
metric=euclidean
k=6
Clustering
c-Means 0.0 k=9
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=21 Clustering
DIANA 0.0 metric=euclidean
k=24
Clustering
DBSCAN 0.0 eps=6.066666666666666
MinPts=2
Clustering
Hierarchical Clustering 0.0 method=average
k=11
Clustering
fanny 0.0 k=26
membexp=2.0
Clustering
clusterONE 0.0 s=3
d=0.6333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=2000
convits=200
Clustering
Markov Clustering 0.0 I=4.823923923923925 Clustering
Transitivity Clustering 0.0 T=4.967967967967968 Clustering