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=21
dc=0.7
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=18
Clustering
c-Means 0.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=5 Clustering
DIANA 0.0 metric=euclidean
k=10
Clustering
DBSCAN 0.0 eps=6.766666666666667
MinPts=9
Clustering
Hierarchical Clustering 0.0 method=single
k=24
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=4
d=0.8333333333333334
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=4250
convits=200
Clustering
Markov Clustering 0.0 I=9.84854854854855 Clustering
Transitivity Clustering 0.0 T=6.257257257257257 Clustering