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 0.501 k=3 Clustering
clusterdp 0.987 k=1014
dc=2.9112181333333336
Clustering
AGNES 1.0 method=complete
metric=euclidean
k=9
Clustering
c-Means 0.982 k=81
m=2.25
Clustering
k-Medoids (PAM) 0.78 k=93 Clustering
DIANA 1.0 metric=euclidean
k=24
Clustering
DBSCAN 1.0 eps=2.9112181333333336
MinPts=105
Clustering
Hierarchical Clustering 0.998 method=average
k=2
Clustering
fanny 1.0 k=90
membexp=2.0
Clustering
clusterONE 1.0 s=1
d=0.7
Clustering
Affinity Propagation 0.668 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 1.0 I=1.2158158158158159 Clustering
Transitivity Clustering 1.0 T=0.17484793593593595 Clustering
MCODE 1.0 v=0.1
cutoff=40.02924933333333
haircut=T
fluff=T
Clustering