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=218 Clustering
clusterdp 0.002 k=5
dc=258.64497227449266
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=195
Clustering
c-Means 0.0 k=211
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=194 Clustering
DIANA 0.0 metric=euclidean
k=223
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=146
Clustering
fanny 0.003 k=101
membexp=5.0
Clustering
clusterONE 0.039 s=1
d=0.1
Clustering
Affinity Propagation 0.014 dampfact=0.9175
preference=80.82655383577895
maxits=5000
convits=500
Clustering
Markov Clustering 0.012 I=9.75055055055055 Clustering
Transitivity Clustering 0.0 T=101.6197713891275 Clustering
MCODE 0.019 v=0.3
cutoff=40.413276917889476
haircut=F
fluff=T
Clustering