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=508 Clustering
clusterdp 0.911 k=24
dc=0.9743852863603072
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=511
Clustering
c-Means 0.0 k=33
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=506 Clustering
DIANA 0.0 metric=euclidean
k=508
Clustering
DBSCAN 1.0 eps=0.8804646696814323
MinPts=494
Clustering
Hierarchical Clustering 0.0 method=single
k=511
Clustering
fanny 0.0 k=245
membexp=2.0
Clustering
clusterONE 1.0 s=341
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.0000000000000002
maxits=4250
convits=200
Clustering
Markov Clustering 1.0 I=7.950950950950951 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=T
Clustering