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=1046 Clustering
clusterdp 1.0 k=734
dc=17.4673088
Clustering
AGNES 1.0 method=average
metric=euclidean
k=525
Clustering
c-Means 1.0 k=435
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=397 Clustering
DIANA 1.0 metric=euclidean
k=607
Clustering
DBSCAN 1.0 eps=33.479008533333335
MinPts=838
Clustering
Hierarchical Clustering 1.0 method=single
k=269
Clustering
fanny 1.0 k=1041
membexp=5.0
Clustering
clusterONE 0.0 s=1
d=0.7
Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.999 I=9.91091091091091 Clustering
Transitivity Clustering 1.0 T=9.441788540540541 Clustering
MCODE 0.976 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering