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 0.78 k=3 Clustering
clusterdp 0.726 k=12
dc=290.21412854947664
Clustering
AGNES 0.764 method=single
metric=euclidean
k=49
Clustering
c-Means 0.663 k=9
m=5.0
Clustering
k-Medoids (PAM) 0.657 k=11 Clustering
DIANA 0.481 metric=euclidean
k=91
Clustering
DBSCAN 0.287 eps=34.8256954259372
MinPts=119
Clustering
Hierarchical Clustering 0.747 method=complete
k=52
Clustering
fanny 0.494 k=20
membexp=1.1
Clustering
clusterONE 0.317 s=1
d=0.7333333333333333
Clustering
Affinity Propagation 0.267 dampfact=0.7
preference=0.0
maxits=3500
convits=425
Clustering
Markov Clustering 0.596 I=3.5232232232232237 Clustering
Transitivity Clustering 0.732 T=0.6972111196383823 Clustering