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=222 Clustering
clusterdp 0.002 k=5
dc=247.86809842972212
Clustering
AGNES 0.0 method=single
metric=euclidean
k=192
Clustering
c-Means 0.0 k=213
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=125 Clustering
DIANA 0.0 metric=euclidean
k=225
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=average
k=222
Clustering
fanny 0.003 k=101
membexp=5.0
Clustering
clusterONE 0.039 s=1
d=0.1
Clustering
Affinity Propagation 0.014 dampfact=0.7725
preference=161.6531076715579
maxits=4250
convits=275
Clustering
Markov Clustering 0.012 I=9.518918918918919 Clustering
Transitivity Clustering 0.0 T=100.97251169875088 Clustering
MCODE 0.019 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering