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=216 Clustering
clusterdp 0.0 k=5
dc=258.64497227449266
Clustering
AGNES 0.0 method=single
metric=euclidean
k=232
Clustering
c-Means 0.0 k=15
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=169 Clustering
DIANA 0.0 metric=euclidean
k=231
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=220
Clustering
fanny 0.0 k=109
membexp=2.0
Clustering
clusterONE 0.011 s=1
d=0.1
Clustering
Affinity Propagation 0.004 dampfact=0.9175
preference=80.82655383577895
maxits=5000
convits=500
Clustering
Markov Clustering 0.003 I=9.207107107107106 Clustering
Transitivity Clustering 0.0 T=323.3062153431158 Clustering
MCODE 0.005 v=0
cutoff=40.413276917889476
haircut=F
fluff=T
Clustering