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 0.844 k=644 Clustering
clusterdp 0.0 k=71
dc=37.84583573333334
Clustering
AGNES 0.0 method=average
metric=euclidean
k=933
Clustering
c-Means 0.0 k=1017
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=827 Clustering
DIANA 0.0 metric=euclidean
k=674
Clustering
DBSCAN 0.0 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.0 method=complete
k=676
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=559
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=21.834136
maxits=3500
convits=425
Clustering
Markov Clustering 0.198 I=9.884184184184184 Clustering
Transitivity Clustering 0.0 T=25.6589345985986 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering