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=979
dc=26.2009632
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=742
Clustering
c-Means 0.0 k=763
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=553 Clustering
DIANA 0.0 metric=euclidean
k=601
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=average
k=279
Clustering
fanny 0.0 k=1044
membexp=2.0
Clustering
clusterONE 1.0 s=943
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=43.668272
maxits=3500
convits=275
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=22.249399847847847 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering