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 0.003 k=28 Clustering
clusterdp 0.0 k=19
dc=0.7
Clustering
AGNES 0.0 method=single
metric=euclidean
k=7
Clustering
c-Means 0.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=33
Clustering
DBSCAN 0.0 eps=4.9
MinPts=9
Clustering
Hierarchical Clustering 0.0 method=single
k=4
Clustering
fanny 0.0 k=2
membexp=2.0
Clustering
clusterONE 0.0 s=4
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=7.0
maxits=5000
convits=425
Clustering
Markov Clustering 0.0 I=6.463163163163164 Clustering
Transitivity Clustering 0.0 T=4.428428428428428 Clustering