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=511 Clustering
clusterdp 0.089 k=6
dc=0.9914617621201025
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=511
Clustering
c-Means 1.0 k=264
m=1.01
Clustering
k-Medoids (PAM) 1.0 k=510 Clustering
DIANA 1.0 metric=euclidean
k=511
Clustering
DBSCAN 0.0 eps=0.8975411454412278
MinPts=86
Clustering
Hierarchical Clustering 1.0 method=complete
k=509
Clustering
fanny 1.0 k=158
membexp=2.0
Clustering
clusterONE 0.0 s=375
d=0.16666666666666666
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=1.8305305305305308 Clustering
Transitivity Clustering 1.0 T=0.9997435964600633 Clustering
MCODE 0.716 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F
Clustering