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=508 Clustering
clusterdp 0.911 k=6
dc=0.9914617621201025
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=511
Clustering
c-Means 0.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=510 Clustering
DIANA 0.0 metric=euclidean
k=509
Clustering
DBSCAN 1.0 eps=0.9829235242402048
MinPts=443
Clustering
Hierarchical Clustering 0.0 method=complete
k=511
Clustering
fanny 0.0 k=509
membexp=1.1
Clustering
clusterONE 1.0 s=273
d=0.3
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=350
Clustering
Markov Clustering 1.0 I=6.89079079079079 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=F
Clustering