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 0.691 k=2 Clustering
clusterdp 0.97 k=19
dc=1.1666666666666667
Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=1
Clustering
c-Means 1.0 k=2
m=3.5
Clustering
k-Medoids (PAM) 0.94 k=3 Clustering
DIANA 0.834 metric=euclidean
k=17
Clustering
DBSCAN 0.834 eps=0.0
MinPts=3
Clustering
Hierarchical Clustering 1.0 method=average
k=2
Clustering
fanny 1.0 k=2
membexp=2.0
Clustering
clusterONE 0.847 s=6
d=0.0
Clustering
Affinity Propagation 0.612 dampfact=0.99
preference=0.0
maxits=5000
convits=500
Clustering
Markov Clustering 1.0 I=1.50980980980981 Clustering
Transitivity Clustering 1.0 T=0.11211211211211211 Clustering