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 0.822 k=4 Clustering
clusterdp 0.992 k=24
dc=0.9090676683577977
Clustering
AGNES 1.0 method=complete
metric=euclidean
k=1
Clustering
c-Means 0.862 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.534 k=2 Clustering
DIANA 1.0 metric=euclidean
k=123
Clustering
DBSCAN 1.0 eps=0.9969689222785935
MinPts=14
Clustering
Hierarchical Clustering 0.999 method=average
k=2
Clustering
fanny 1.0 k=9
membexp=2.0
Clustering
clusterONE 1.0 s=56
d=0.8333333333333334
Clustering
Affinity Propagation 0.684 dampfact=0.7
preference=0.9090676683577977
maxits=4250
convits=500
Clustering
Markov Clustering 1.0 I=6.525525525525525 Clustering
Transitivity Clustering 1.0 T=0.9394694689268624 Clustering
MCODE 0.63 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering