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 0.736 k=511 Clustering
clusterdp 0.303 k=25
dc=0.8932720265012789
Clustering
AGNES 0.736 method=single
metric=euclidean
k=479
Clustering
c-Means 0.736 k=505
m=3.5
Clustering
k-Medoids (PAM) 0.736 k=489 Clustering
DIANA 0.736 metric=euclidean
k=477
Clustering
DBSCAN 0.264 eps=0.9316940969608186
MinPts=188
Clustering
Hierarchical Clustering 0.736 method=complete
k=477
Clustering
fanny 0.736 k=60
membexp=1.1
Clustering
clusterONE 0.264 s=188
d=0.5333333333333333
Clustering
Affinity Propagation 0.736 dampfact=0.7725
preference=1.0000000000000002
maxits=2750
convits=500
Clustering
Markov Clustering 0.264 I=1.1 Clustering
Transitivity Clustering 0.736 T=0.9996153946900949 Clustering
MCODE 0.599 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=T
Clustering