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=11
dc=278.6055634074976
Clustering
AGNES 0.764 method=average
metric=euclidean
k=50
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=92
Clustering
DBSCAN 0.287 eps=11.608565141979065
MinPts=220
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=0.06666666666666667
Clustering
Affinity Propagation 0.267 dampfact=0.7725
preference=0.0
maxits=2000
convits=275
Clustering
Markov Clustering 0.596 I=3.5321321321321326 Clustering
Transitivity Clustering 0.732 T=0.6972111196383823 Clustering