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 0.493 k=123 Clustering
clusterdp 0.586 k=10
dc=0.9598546953655744
Clustering
AGNES 0.0 method=average
metric=euclidean
k=173
Clustering
c-Means 0.0 k=188
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=162 Clustering
DIANA 0.0 metric=euclidean
k=174
Clustering
DBSCAN 0.609 eps=0.9478111039752466
MinPts=51
Clustering
Hierarchical Clustering 0.0 method=complete
k=172
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=70
d=0.3333333333333333
Clustering
Affinity Propagation 0.573 dampfact=0.845
preference=0.9698910215241808
maxits=2000
convits=275
Clustering
Markov Clustering 0.609 I=6.24934934934935 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.594 v=0.0
cutoff=0.9849455107620905
haircut=F
fluff=T
Clustering