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=190 Clustering
clusterdp 0.33 k=4
dc=0.9478111039752466
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=178
Clustering
c-Means 1.0 k=25
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=176 Clustering
DIANA 1.0 metric=euclidean
k=161
Clustering
DBSCAN 0.0 eps=0.915694860267706
MinPts=145
Clustering
Hierarchical Clustering 1.0 method=single
k=188
Clustering
fanny 1.0 k=44
membexp=1.1
Clustering
clusterONE 0.0 s=120
d=0.4
Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.0000000000000002
maxits=4250
convits=500
Clustering
Markov Clustering 0.0 I=7.585685685685686 Clustering
Transitivity Clustering 1.0 T=0.999397217648132 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F
Clustering