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=1046 Clustering
clusterdp 0.0 k=560
dc=36.39022666666666
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=959
Clustering
c-Means 0.0 k=352
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=911 Clustering
DIANA 0.0 metric=euclidean
k=691
Clustering
DBSCAN 0.0 eps=34.9346176
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=average
k=950
Clustering
fanny 0.0 k=213
membexp=1.1
Clustering
clusterONE 1.0 s=245
d=0.5
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=4250
convits=200
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=23.823031271271272 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering