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 0.0 k=1094 Clustering
clusterdp 0.0 k=38
dc=0.3
Clustering
AGNES 0.0 method=single
metric=euclidean
k=1095
Clustering
c-Means 0.0 k=266
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=1046 Clustering
DIANA 0.0 metric=euclidean
k=1080
Clustering
DBSCAN 0.003 eps=0.4666666666666667
MinPts=656
Clustering
Hierarchical Clustering 0.0 method=complete
k=1047
Clustering
fanny 0.0 k=28
membexp=2.0
Clustering
clusterONE 0.004 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.567 dampfact=0.99
preference=0.0
maxits=4250
convits=425
Clustering
Markov Clustering 0.007 I=4.3784784784784785 Clustering
Transitivity Clustering 0.0 T=1.0 Clustering