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=23
dc=0.959180324770674
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=282
Clustering
c-Means 0.0 k=143
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=108 Clustering
DIANA 0.0 metric=euclidean
k=186
Clustering
DBSCAN 0.0 eps=0.3877048715601111
MinPts=20
Clustering
Hierarchical Clustering 0.0 method=complete
k=140
Clustering
fanny 0.0 k=49
membexp=1.1
Clustering
clusterONE 1.0 s=20
d=0.7666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.6938524357800555
maxits=4250
convits=500
Clustering
Markov Clustering 1.0 I=9.93763763763764 Clustering
Transitivity Clustering 0.0 T=0.5599320298099697 Clustering