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 2.001 k=7 Clustering
clusterdp 2.011 k=106
dc=73.27601433607948
Clustering
AGNES 2.008 method=weighted
metric=euclidean
k=64
Clustering
c-Means 2.001 k=2
m=3.5
Clustering
k-Medoids (PAM) Infinity k=1046 Clustering
DIANA 2.009 metric=euclidean
k=1034
Clustering
DBSCAN 2.004 eps=92.5591760034688
MinPts=628
Clustering
Hierarchical Clustering 2.008 method=complete
k=58
Clustering
fanny 2.0 k=165
membexp=5.0
Clustering
clusterONE 1.896 s=1
d=0.7666666666666667
Clustering
Affinity Propagation 1.684 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 2.014 I=1.1445445445445446 Clustering
Transitivity Clustering Infinity T=91.95693912256536 Clustering
MCODE 1.996 v=0.8
cutoff=53.02869458532067
haircut=F
fluff=F
Clustering