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=13
dc=1.1666666666666667
Clustering
AGNES 0.0 method=average
metric=euclidean
k=33
Clustering
c-Means 0.0 k=6
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=17 Clustering
DIANA 0.0 metric=euclidean
k=26
Clustering
DBSCAN 0.0 eps=4.433333333333334
MinPts=34
Clustering
Hierarchical Clustering 0.0 method=average
k=7
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=4
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.75
maxits=5000
convits=200
Clustering
Markov Clustering 0.0 I=6.3384384384384385 Clustering
Transitivity Clustering 0.0 T=2.5855855855855854 Clustering