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 1.0 k=1046 Clustering
clusterdp 1.0 k=665
dc=30.5677904
Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=895
Clustering
c-Means 1.0 k=594
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=435 Clustering
DIANA 1.0 metric=euclidean
k=605
Clustering
DBSCAN 1.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 1.0 method=average
k=862
Clustering
fanny 1.0 k=213
membexp=1.1
Clustering
clusterONE 0.0 s=594
d=1.0
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=21.834136
maxits=3500
convits=425
Clustering
Markov Clustering 0.999 I=9.884184184184184 Clustering
Transitivity Clustering 1.0 T=22.424247783783784 Clustering
MCODE 0.976 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering