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 0.396 k=511 Clustering
clusterdp 0.069 k=25
dc=0.8932720265012789
Clustering
AGNES 0.397 method=weighted
metric=euclidean
k=511
Clustering
c-Means 0.397 k=58
m=5.0
Clustering
k-Medoids (PAM) 0.397 k=510 Clustering
DIANA 0.397 metric=euclidean
k=511
Clustering
DBSCAN 0.0 eps=0.8719264318015347
MinPts=171
Clustering
Hierarchical Clustering 0.397 method=average
k=509
Clustering
fanny 0.397 k=212
membexp=1.1
Clustering
clusterONE 0.0 s=120
d=0.9333333333333333
Clustering
Affinity Propagation 0.397 dampfact=0.7
preference=1.0000000000000002
maxits=2750
convits=500
Clustering
Markov Clustering 0.0 I=1.1 Clustering
Transitivity Clustering 0.397 T=0.9997435964600633 Clustering
MCODE 0.125 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=T
Clustering