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 0.493 k=123 Clustering
clusterdp 0.586 k=15
dc=1.0000000000000002
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=173
Clustering
c-Means 0.0 k=186
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=186 Clustering
DIANA 0.0 metric=euclidean
k=174
Clustering
DBSCAN 0.609 eps=0.915694860267706
MinPts=89
Clustering
Hierarchical Clustering 0.0 method=complete
k=183
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=57
d=0.16666666666666666
Clustering
Affinity Propagation 0.573 dampfact=0.845
preference=0.9698910215241808
maxits=4250
convits=350
Clustering
Markov Clustering 0.609 I=4.503203203203204 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.594 v=0.0
cutoff=0.9849455107620905
haircut=F
fluff=T
Clustering