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=420 Clustering
clusterdp 0.124 k=21
dc=0.9818135336715597
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=420
Clustering
c-Means 1.0 k=103
m=1.01
Clustering
k-Medoids (PAM) 1.0 k=414 Clustering
DIANA 1.0 metric=euclidean
k=419
Clustering
DBSCAN 0.0 eps=0.9211919792434247
MinPts=98
Clustering
Hierarchical Clustering 1.0 method=complete
k=417
Clustering
fanny 1.0 k=95
membexp=2.0
Clustering
clusterONE 0.0 s=224
d=0.3333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=8.85965965965966 Clustering
Transitivity Clustering 1.0 T=1.0000000000000002 Clustering
MCODE 0.734 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering