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=2
dc=33.479008533333335
Clustering
AGNES 0.0 method=single
metric=euclidean
k=806
Clustering
c-Means 0.0 k=1017
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=959 Clustering
DIANA 0.0 metric=euclidean
k=866
Clustering
DBSCAN 0.0 eps=27.656572266666668
MinPts=664
Clustering
Hierarchical Clustering 0.0 method=single
k=556
Clustering
fanny 0.0 k=395
membexp=1.1
Clustering
clusterONE 1.0 s=35
d=0.2
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=31.603764420420422 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering