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 0.844 k=644 Clustering
clusterdp 0.0 k=71
dc=32.02339946666667
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=550
Clustering
c-Means 0.0 k=1027
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=629 Clustering
DIANA 0.0 metric=euclidean
k=922
Clustering
DBSCAN 0.0 eps=36.39022666666666
MinPts=664
Clustering
Hierarchical Clustering 0.0 method=average
k=644
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=559
d=0.3
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=43.668272
maxits=4250
convits=425
Clustering
Markov Clustering 0.198 I=9.893093093093094 Clustering
Transitivity Clustering 0.0 T=34.619891315315314 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering