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=595
dc=37.84583573333334
Clustering
AGNES 0.0 method=average
metric=euclidean
k=614
Clustering
c-Means 0.0 k=202
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=461 Clustering
DIANA 0.0 metric=euclidean
k=733
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=average
k=335
Clustering
fanny 0.0 k=131
membexp=5.0
Clustering
clusterONE 1.0 s=280
d=0.03333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=43.668272
maxits=5000
convits=275
Clustering
Markov Clustering 0.001 I=9.973273273273273 Clustering
Transitivity Clustering 0.0 T=25.6589345985986 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering