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 1.0 k=189 Clustering
clusterdp 0.33 k=5
dc=0.9317529821214764
Clustering
AGNES 1.0 method=single
metric=euclidean
k=180
Clustering
c-Means 1.0 k=169
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=189 Clustering
DIANA 1.0 metric=euclidean
k=181
Clustering
DBSCAN 0.0 eps=0.9879564086096725
MinPts=114
Clustering
Hierarchical Clustering 1.0 method=average
k=187
Clustering
fanny 1.0 k=60
membexp=1.1
Clustering
clusterONE 0.0 s=133
d=0.13333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=1.1 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering