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 0.362 k=4 Clustering
clusterdp 0.405 k=8
dc=0.8996367384139357
Clustering
AGNES 0.405 method=average
metric=euclidean
k=7
Clustering
c-Means 0.31 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.3 k=5 Clustering
DIANA 0.392 metric=euclidean
k=2
Clustering
DBSCAN 0.391 eps=0.8795640860967228
MinPts=89
Clustering
Hierarchical Clustering 0.405 method=single
k=7
Clustering
fanny 0.391 k=5
membexp=5.0
Clustering
clusterONE 0.391 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.255 dampfact=0.7725
preference=0.8795640860967228
maxits=2000
convits=200
Clustering
Markov Clustering 0.391 I=1.2959959959959961 Clustering
Transitivity Clustering 0.392 T=0.9172982613236756 Clustering
MCODE 0.384 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering