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 0.844 k=644 Clustering
clusterdp 0.0 k=734
dc=17.4673088
Clustering
AGNES 0.0 method=average
metric=euclidean
k=525
Clustering
c-Means 0.0 k=1017
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=397 Clustering
DIANA 0.0 metric=euclidean
k=607
Clustering
DBSCAN 0.0 eps=36.39022666666666
MinPts=664
Clustering
Hierarchical Clustering 0.0 method=single
k=269
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=1
d=0.7
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.198 I=9.821821821821821 Clustering
Transitivity Clustering 0.0 T=9.441788540540541 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering