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=663
dc=111.84233767085814
Clustering
AGNES 0.0 method=single
metric=euclidean
k=575
Clustering
c-Means 0.0 k=97
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=779 Clustering
DIANA 0.0 metric=euclidean
k=691
Clustering
DBSCAN 0.0 eps=46.2795880017344
MinPts=698
Clustering
Hierarchical Clustering 0.0 method=complete
k=600
Clustering
fanny 0.0 k=310
membexp=1.1
Clustering
clusterONE 0.012 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=115.69897000433602
maxits=4250
convits=500
Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=50.95850530721506 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering