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 0.609 k=123 Clustering
clusterdp 0.485 k=25
dc=0.9197093907311485
Clustering
AGNES 0.632 method=ward
metric=euclidean
k=130
Clustering
c-Means 0.616 k=43
m=1.5
Clustering
k-Medoids (PAM) 0.613 k=134 Clustering
DIANA 0.615 metric=euclidean
k=133
Clustering
DBSCAN 0.391 eps=0.8795640860967228
MinPts=89
Clustering
Hierarchical Clustering 0.632 method=complete
k=134
Clustering
fanny 0.614 k=26
membexp=5.0
Clustering
clusterONE 0.391 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.609 dampfact=0.7725
preference=1.0000000000000002
maxits=4250
convits=200
Clustering
Markov Clustering 0.391 I=1.2959959959959961 Clustering
Transitivity Clustering 0.619 T=0.9967449752999117 Clustering
MCODE 0.56 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering