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 0.0 k=278 Clustering
clusterdp 0.014 k=22
dc=0.6938524357800555
Clustering
AGNES 0.0 method=single
metric=euclidean
k=68
Clustering
c-Means 0.0 k=119
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=238 Clustering
DIANA 0.0 metric=euclidean
k=54
Clustering
DBSCAN 0.0 eps=0.3877048715601111
MinPts=20
Clustering
Hierarchical Clustering 0.0 method=single
k=58
Clustering
fanny 0.0 k=124
membexp=5.0
Clustering
clusterONE 1.0 s=30
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.8469262178900278
maxits=2750
convits=500
Clustering
Markov Clustering 1.0 I=1.3672672672672674 Clustering
Transitivity Clustering 0.0 T=0.5568674896275879 Clustering