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 0.545 k=419 Clustering
clusterdp 0.116 k=25
dc=0.9515027564574922
Clustering
AGNES 0.546 method=flexible
metric=euclidean
k=420
Clustering
c-Means 0.546 k=35
m=5.0
Clustering
k-Medoids (PAM) 0.546 k=414 Clustering
DIANA 0.546 metric=euclidean
k=415
Clustering
DBSCAN 0.0 eps=0.9090676683577977
MinPts=140
Clustering
Hierarchical Clustering 0.546 method=complete
k=417
Clustering
fanny 0.546 k=38
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.43333333333333335
Clustering
Affinity Propagation 0.546 dampfact=0.7
preference=1.0000000000000002
maxits=2000
convits=200
Clustering
Markov Clustering 0.0 I=1.1712712712712714 Clustering
Transitivity Clustering 0.546 T=1.0000000000000002 Clustering
MCODE 0.148 v=0.3
cutoff=0.9962111528482418
haircut=F
fluff=T
Clustering