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=1043 Clustering
clusterdp 0.0 k=489
dc=46.2795880017344
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=804
Clustering
c-Means 0.0 k=136
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=1029 Clustering
DIANA 0.0 metric=euclidean
k=740
Clustering
DBSCAN 0.0 eps=38.56632333477867
MinPts=698
Clustering
Hierarchical Clustering 0.0 method=single
k=521
Clustering
fanny 0.0 k=395
membexp=2.0
Clustering
clusterONE 0.012 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=57.84948500216801
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.91091091091091 Clustering
Transitivity Clustering 0.0 T=42.04076687845243 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T
Clustering