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=189 Clustering
clusterdp 0.67 k=25
dc=0.9116803298042634
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=183
Clustering
c-Means 0.0 k=37
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=185 Clustering
DIANA 0.0 metric=euclidean
k=181
Clustering
DBSCAN 1.0 eps=1.0000000000000002
MinPts=13
Clustering
Hierarchical Clustering 0.0 method=complete
k=166
Clustering
fanny 0.0 k=30
membexp=5.0
Clustering
clusterONE 1.0 s=7
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=3500
convits=275
Clustering
Markov Clustering 1.0 I=3.9241241241241243 Clustering
Transitivity Clustering 0.0 T=0.999397217648132 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F
Clustering