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 1.0 k=278 Clustering
clusterdp 0.986 k=22
dc=0.6938524357800555
Clustering
AGNES 1.0 method=single
metric=euclidean
k=68
Clustering
c-Means 1.0 k=119
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=238 Clustering
DIANA 1.0 metric=euclidean
k=54
Clustering
DBSCAN 1.0 eps=0.3877048715601111
MinPts=20
Clustering
Hierarchical Clustering 1.0 method=single
k=58
Clustering
fanny 1.0 k=124
membexp=5.0
Clustering
clusterONE 0.0 s=30
d=0.8666666666666667
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.8469262178900278
maxits=2750
convits=500
Clustering
Markov Clustering 0.0 I=1.3672672672672674 Clustering
Transitivity Clustering 1.0 T=0.5568674896275879 Clustering