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 0.0 k=190 Clustering
clusterdp 0.67 k=25
dc=0.9076657993408208
Clustering
AGNES 0.0 method=single
metric=euclidean
k=176
Clustering
c-Means 0.0 k=106
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=178 Clustering
DIANA 0.0 metric=euclidean
k=172
Clustering
DBSCAN 1.0 eps=0.9718982867559022
MinPts=57
Clustering
Hierarchical Clustering 0.0 method=average
k=178
Clustering
fanny 0.0 k=55
membexp=2.0
Clustering
clusterONE 1.0 s=139
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9698910215241808
maxits=5000
convits=500
Clustering
Markov Clustering 1.0 I=9.732732732732734 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering