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=508 Clustering
clusterdp 0.089 k=24
dc=0.8847337886213812
Clustering
AGNES 1.0 method=average
metric=euclidean
k=511
Clustering
c-Means 1.0 k=166
m=5.0
Clustering
k-Medoids (PAM) 1.0 k=510 Clustering
DIANA 1.0 metric=euclidean
k=511
Clustering
DBSCAN 0.0 eps=0.8804646696814323
MinPts=358
Clustering
Hierarchical Clustering 1.0 method=average
k=509
Clustering
fanny 1.0 k=156
membexp=2.0
Clustering
clusterONE 0.0 s=341
d=0.4
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=1.1 Clustering
Transitivity Clustering 1.0 T=0.9997435964600633 Clustering
MCODE 0.716 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F
Clustering