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 0.524 k=5 Clustering
clusterdp 0.924 k=11
dc=0.9183606495413482
Clustering
AGNES 0.996 method=single
metric=euclidean
k=5
Clustering
c-Means 0.959 k=20
m=5.0
Clustering
k-Medoids (PAM) 0.909 k=2 Clustering
DIANA 0.921 metric=euclidean
k=6
Clustering
DBSCAN 0.937 eps=0.959180324770674
MinPts=273
Clustering
Hierarchical Clustering 0.996 method=average
k=4
Clustering
fanny 0.926 k=2
membexp=5.0
Clustering
clusterONE 0.744 s=1
d=0.0
Clustering
Affinity Propagation 0.359 dampfact=0.7725
preference=0.387704871560111
maxits=2000
convits=200
Clustering
Markov Clustering 0.744 I=1.1979979979979982 Clustering
Transitivity Clustering 0.977 T=0.5305124440591041 Clustering