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 0.003 k=28 Clustering
clusterdp 0.0 k=17
dc=0.7
Clustering
AGNES 0.0 method=average
metric=euclidean
k=15
Clustering
c-Means 0.0 k=17
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=11
Clustering
DBSCAN 0.0 eps=5.833333333333333
MinPts=9
Clustering
Hierarchical Clustering 0.0 method=single
k=20
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=4
d=0.9
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=7.0
maxits=5000
convits=425
Clustering
Markov Clustering 0.0 I=7.3006006006006015 Clustering
Transitivity Clustering 0.0 T=2.7887887887887888 Clustering