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=511 Clustering
clusterdp 0.911 k=24
dc=0.9530396916605628
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=504
Clustering
c-Means 0.0 k=59
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=506 Clustering
DIANA 0.0 metric=euclidean
k=509
Clustering
DBSCAN 1.0 eps=0.9573088106005118
MinPts=273
Clustering
Hierarchical Clustering 0.0 method=average
k=509
Clustering
fanny 0.0 k=133
membexp=1.1
Clustering
clusterONE 1.0 s=511
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.0000000000000002
maxits=3500
convits=350
Clustering
Markov Clustering 1.0 I=9.554554554554555 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.2
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering