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=168 Clustering
clusterdp 0.002 k=5
dc=258.64497227449266
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=220
Clustering
c-Means 0.0 k=229
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=137 Clustering
DIANA 0.0 metric=euclidean
k=226
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=197
Clustering
fanny 0.003 k=101
membexp=5.0
Clustering
clusterONE 0.039 s=1
d=0.1
Clustering
Affinity Propagation 0.014 dampfact=0.845
preference=161.6531076715579
maxits=2000
convits=425
Clustering
Markov Clustering 0.012 I=9.233833833833835 Clustering
Transitivity Clustering 0.0 T=102.2670310795041 Clustering
MCODE 0.019 v=0
cutoff=40.413276917889476
haircut=T
fluff=F
Clustering