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=1046 Clustering
clusterdp 0.0 k=630
dc=27.656572266666668
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=691
Clustering
c-Means 0.0 k=435
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=886 Clustering
DIANA 0.0 metric=euclidean
k=601
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=single
k=789
Clustering
fanny 0.0 k=490
membexp=5.0
Clustering
clusterONE 1.0 s=594
d=0.13333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=43.668272
maxits=2750
convits=500
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=32.084596244244246 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering