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 0.516 k=4 Clustering
clusterdp 0.546 k=8
dc=0.8996367384139357
Clustering
AGNES 0.546 method=average
metric=euclidean
k=9
Clustering
c-Means 0.478 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.507 k=5 Clustering
DIANA 0.53 metric=euclidean
k=4
Clustering
DBSCAN 0.53 eps=0.9518256344386893
MinPts=139
Clustering
Hierarchical Clustering 0.546 method=single
k=7
Clustering
fanny 0.53 k=3
membexp=5.0
Clustering
clusterONE 0.53 s=32
d=0.3
Clustering
Affinity Propagation 0.485 dampfact=0.7725
preference=0.8795640860967228
maxits=2000
convits=200
Clustering
Markov Clustering 0.53 I=8.111311311311312 Clustering
Transitivity Clustering 0.53 T=0.9435795718651315 Clustering
MCODE 0.526 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering