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=24
dc=0.9743852863603072
Clustering
AGNES 1.0 method=average
metric=euclidean
k=511
Clustering
c-Means 1.0 k=243
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=506 Clustering
DIANA 1.0 metric=euclidean
k=511
Clustering
DBSCAN 0.0 eps=0.9018102643811766
MinPts=460
Clustering
Hierarchical Clustering 1.0 method=complete
k=509
Clustering
fanny 1.0 k=51
membexp=5.0
Clustering
clusterONE 0.0 s=494
d=0.7
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1.0000000000000002
maxits=5000
convits=425
Clustering
Markov Clustering 0.0 I=1.108908908908909 Clustering
Transitivity Clustering 1.0 T=0.9997435964600633 Clustering
MCODE 0.716 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F
Clustering