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=11
dc=1.1666666666666667
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=31
Clustering
c-Means 0.0 k=2
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=10
Clustering
DBSCAN 0.0 eps=6.066666666666666
MinPts=2
Clustering
Hierarchical Clustering 0.0 method=single
k=6
Clustering
fanny 0.0 k=2
membexp=2.0
Clustering
clusterONE 0.0 s=4
d=0.3
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.75
maxits=5000
convits=200
Clustering
Markov Clustering 0.0 I=3.1312312312312316 Clustering
Transitivity Clustering 0.0 T=0.42042042042042044 Clustering