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 0.355 k=5 Clustering
clusterdp 0.857 k=10
dc=0.959180324770674
Clustering
AGNES 0.991 method=complete
metric=euclidean
k=4
Clustering
c-Means 0.92 k=20
m=5.0
Clustering
k-Medoids (PAM) 0.829 k=2 Clustering
DIANA 0.849 metric=euclidean
k=2
Clustering
DBSCAN 0.881 eps=0.959180324770674
MinPts=273
Clustering
Hierarchical Clustering 0.991 method=average
k=4
Clustering
fanny 0.858 k=2
membexp=5.0
Clustering
clusterONE 0.554 s=30
d=0.8666666666666667
Clustering
Affinity Propagation 0.133 dampfact=0.7
preference=0.387704871560111
maxits=5000
convits=425
Clustering
Markov Clustering 0.554 I=1.3672672672672674 Clustering
Transitivity Clustering 0.956 T=0.5323511681685332 Clustering