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 0.729 k=31 Clustering
clusterdp 0.321 k=4
dc=6.766666666666667
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=33
Clustering
c-Means 0.0 k=33
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=32 Clustering
DIANA 0.0 metric=euclidean
k=31
Clustering
DBSCAN 0.637 eps=4.666666666666667
MinPts=2
Clustering
Hierarchical Clustering 0.0 method=single
k=33
Clustering
fanny 0.475 k=6
membexp=5.0
Clustering
clusterONE 0.837 s=4
d=0.2
Clustering
Affinity Propagation 0.27 dampfact=0.9175
preference=7.0
maxits=2000
convits=200
Clustering
Markov Clustering 0.708 I=3.95975975975976 Clustering
Transitivity Clustering 0.0 T=6.425425425425425 Clustering