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 0.965 k=4 Clustering
clusterdp 1.0 k=6
dc=118.54561229247581
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=6
Clustering
c-Means 0.965 k=2
m=2.25
Clustering
k-Medoids (PAM) 0.999 k=8 Clustering
DIANA 1.0 metric=euclidean
k=28
Clustering
DBSCAN 1.0 eps=0.0
MinPts=31
Clustering
Hierarchical Clustering 1.0 method=single
k=2
Clustering
fanny 1.0 k=2
membexp=2.0
Clustering
clusterONE 1.0 s=54
d=0.1
Clustering
Affinity Propagation 0.988 dampfact=0.99
preference=80.82655383577895
maxits=2000
convits=350
Clustering
Markov Clustering 1.0 I=1.2336336336336338 Clustering
Transitivity Clustering 1.0 T=1.6181492259415207 Clustering
MCODE 1.0 v=0.7
cutoff=26.94218461192632
haircut=F
fluff=T
Clustering