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=12
dc=0.8956222079504931
Clustering
AGNES 0.0 method=average
metric=euclidean
k=176
Clustering
c-Means 0.0 k=186
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=187 Clustering
DIANA 0.0 metric=euclidean
k=181
Clustering
DBSCAN 0.609 eps=0.9919709390731151
MinPts=26
Clustering
Hierarchical Clustering 0.0 method=single
k=168
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=171
d=0.5
Clustering
Affinity Propagation 0.573 dampfact=0.7
preference=0.9698910215241808
maxits=2750
convits=200
Clustering
Markov Clustering 0.609 I=8.048948948948949 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.594 v=0.9
cutoff=0.9849455107620905
haircut=T
fluff=T
Clustering