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 0.062 k=34 Clustering
clusterdp 0.391 k=13
dc=301.82269369145575
Clustering
AGNES 0.0 method=complete
metric=euclidean
k=123
Clustering
c-Means 0.0 k=476
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=400 Clustering
DIANA 0.0 metric=euclidean
k=188
Clustering
DBSCAN 0.0 eps=313.4312588334348
MinPts=405
Clustering
Hierarchical Clustering 0.0 method=average
k=333
Clustering
fanny 0.076 k=157
membexp=5.0
Clustering
clusterONE 0.831 s=1
d=0.13333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=261.192715694529
maxits=2000
convits=500
Clustering
Markov Clustering 0.388 I=9.91981981981982 Clustering
Transitivity Clustering 0.0 T=298.75496476504685 Clustering