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 0.25 k=1044 Clustering
clusterdp 0.0 k=1047
dc=73.27601433607948
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=613
Clustering
c-Means 0.0 k=1015
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=763 Clustering
DIANA 0.0 metric=euclidean
k=837
Clustering
DBSCAN 0.0 eps=104.12907300390242
MinPts=663
Clustering
Hierarchical Clustering 0.0 method=complete
k=766
Clustering
fanny 0.402 k=505
membexp=5.0
Clustering
clusterONE 0.751 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=115.69897000433602
maxits=2750
convits=200
Clustering
Markov Clustering 0.304 I=7.38078078078078 Clustering
Transitivity Clustering 0.0 T=73.65820312588359 Clustering
MCODE 0.981 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=F
Clustering