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=189 Clustering
clusterdp 0.67 k=24
dc=0.9558401649021318
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=190
Clustering
c-Means 0.0 k=17
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=170 Clustering
DIANA 0.0 metric=euclidean
k=161
Clustering
DBSCAN 1.0 eps=0.9839418781462299
MinPts=95
Clustering
Hierarchical Clustering 0.0 method=complete
k=189
Clustering
fanny 0.0 k=90
membexp=2.0
Clustering
clusterONE 1.0 s=95
d=0.9
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9698910215241808
maxits=5000
convits=500
Clustering
Markov Clustering 1.0 I=3.30940940940941 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering