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 0.067 k=278 Clustering
clusterdp 0.017 k=18
dc=0.959180324770674
Clustering
AGNES 0.0 method=average
metric=euclidean
k=203
Clustering
c-Means 0.0 k=287
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=283 Clustering
DIANA 0.0 metric=euclidean
k=115
Clustering
DBSCAN 0.0 eps=0.5101638972480889
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=246
Clustering
fanny 0.0 k=71
membexp=1.1
Clustering
clusterONE 0.446 s=283
d=0.3333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.6938524357800555
maxits=4250
convits=350
Clustering
Markov Clustering 0.446 I=2.596696696696697 Clustering
Transitivity Clustering 0.0 T=0.5599320298099697 Clustering