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 0.355 k=190 Clustering
clusterdp 0.199 k=25
dc=0.9197093907311485
Clustering
AGNES 0.383 method=ward
metric=euclidean
k=130
Clustering
c-Means 0.359 k=186
m=3.5
Clustering
k-Medoids (PAM) 0.371 k=161 Clustering
DIANA 0.372 metric=euclidean
k=147
Clustering
DBSCAN 0.0 eps=0.9598546953655744
MinPts=127
Clustering
Hierarchical Clustering 0.383 method=single
k=129
Clustering
fanny 0.356 k=44
membexp=1.1
Clustering
clusterONE 0.0 s=32
d=0.7666666666666667
Clustering
Affinity Propagation 0.356 dampfact=0.7725
preference=0.9698910215241808
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=5.964264264264266 Clustering
Transitivity Clustering 0.372 T=0.9981916529443955 Clustering
MCODE 0.181 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering