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=193 Clustering
clusterdp 0.0 k=5
dc=247.86809842972212
Clustering
AGNES 0.0 method=complete
metric=euclidean
k=203
Clustering
c-Means 0.0 k=9
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=188 Clustering
DIANA 0.0 metric=euclidean
k=228
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=average
k=153
Clustering
fanny 0.0 k=65
membexp=1.1
Clustering
clusterONE 0.011 s=1
d=0.1
Clustering
Affinity Propagation 0.004 dampfact=0.7725
preference=161.6531076715579
maxits=5000
convits=200
Clustering
Markov Clustering 0.003 I=9.35855855855856 Clustering
Transitivity Clustering 0.0 T=323.3062153431158 Clustering
MCODE 0.005 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering