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=2
dc=2.9112181333333336
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=895
Clustering
c-Means 0.0 k=1017
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=831 Clustering
DIANA 0.0 metric=euclidean
k=927
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=average
k=1048
Clustering
fanny 0.0 k=1048
membexp=5.0
Clustering
clusterONE 1.0 s=908
d=0.2
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=32.751204
maxits=5000
convits=425
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=15.867450186186186 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering