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 0.5 k=419 Clustering
clusterdp 0.869 k=4
dc=0.9575649119003058
Clustering
AGNES 0.286 method=average
metric=euclidean
k=404
Clustering
c-Means 0.4 k=411
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=414 Clustering
DIANA 0.0 metric=euclidean
k=418
Clustering
DBSCAN 0.873 eps=0.9090676683577977
MinPts=420
Clustering
Hierarchical Clustering 0.0 method=complete
k=418
Clustering
fanny 0.823 k=166
membexp=1.1
Clustering
clusterONE 0.873 s=1
d=0.5
Clustering
Affinity Propagation 0.861 dampfact=0.9175
preference=0.9545338341788989
maxits=2750
convits=275
Clustering
Markov Clustering 0.873 I=1.2425425425425427 Clustering
Transitivity Clustering 0.28 T=0.9992718131600226 Clustering
MCODE 0.866 v=0.1
cutoff=0.9962111528482418
haircut=F
fluff=T
Clustering