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 0.489 k=5 Clustering
clusterdp 0.928 k=11
dc=0.9183606495413482
Clustering
AGNES 0.997 method=single
metric=euclidean
k=5
Clustering
c-Means 0.964 k=20
m=5.0
Clustering
k-Medoids (PAM) 0.927 k=2 Clustering
DIANA 0.94 metric=euclidean
k=6
Clustering
DBSCAN 0.94 eps=0.8979508119266852
MinPts=254
Clustering
Hierarchical Clustering 0.997 method=average
k=4
Clustering
fanny 0.943 k=2
membexp=5.0
Clustering
clusterONE 0.806 s=1
d=0.0
Clustering
Affinity Propagation 0.293 dampfact=0.7725
preference=0.387704871560111
maxits=2000
convits=200
Clustering
Markov Clustering 0.806 I=1.1979979979979982 Clustering
Transitivity Clustering 0.984 T=0.5305124440591041 Clustering