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=1046 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=435
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=397 Clustering
DIANA 0.0 metric=euclidean
k=607
Clustering
DBSCAN 0.0 eps=33.479008533333335
MinPts=838
Clustering
Hierarchical Clustering 0.0 method=single
k=269
Clustering
fanny 0.0 k=1041
membexp=5.0
Clustering
clusterONE 1.0 s=1
d=0.7
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.91091091091091 Clustering
Transitivity Clustering 0.0 T=9.441788540540541 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering