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 0.064 k=11 Clustering
clusterdp 0.0 k=24
dc=3.033333333333333
Clustering
AGNES 0.0 method=complete
metric=euclidean
k=2
Clustering
c-Means 0.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=15 Clustering
DIANA 0.0 metric=euclidean
k=13
Clustering
DBSCAN 0.0 eps=5.366666666666666
MinPts=4
Clustering
Hierarchical Clustering 0.0 method=complete
k=31
Clustering
fanny 0.0 k=26
membexp=2.0
Clustering
clusterONE 0.0 s=1
d=0.4666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.75
maxits=5000
convits=200
Clustering
Markov Clustering 0.0 I=4.129029029029029 Clustering
Transitivity Clustering 0.0 T=5.675675675675675 Clustering