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=168 Clustering
clusterdp 0.002 k=3
dc=269.4218461192632
Clustering
AGNES 0.0 method=single
metric=euclidean
k=203
Clustering
c-Means 0.0 k=201
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=192 Clustering
DIANA 0.0 metric=euclidean
k=223
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=single
k=204
Clustering
fanny 0.003 k=101
membexp=5.0
Clustering
clusterONE 0.039 s=1
d=0.1
Clustering
Affinity Propagation 0.014 dampfact=0.99
preference=161.6531076715579
maxits=3500
convits=350
Clustering
Markov Clustering 0.012 I=9.75055055055055 Clustering
Transitivity Clustering 0.0 T=97.41258340167953 Clustering
MCODE 0.019 v=0.2
cutoff=40.413276917889476
haircut=F
fluff=F
Clustering