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 0.729 k=31 Clustering
clusterdp 0.321 k=4
dc=6.766666666666667
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=33
Clustering
c-Means 0.0 k=33
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=32 Clustering
DIANA 0.0 metric=euclidean
k=31
Clustering
DBSCAN 0.637 eps=5.833333333333333
MinPts=3
Clustering
Hierarchical Clustering 0.0 method=single
k=32
Clustering
fanny 0.475 k=6
membexp=5.0
Clustering
clusterONE 0.837 s=1
d=0.3
Clustering
Affinity Propagation 0.27 dampfact=0.845
preference=7.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.708 I=4.084484484484484 Clustering
Transitivity Clustering 0.0 T=6.53053053053053 Clustering