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=0.9357675125849189
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=162 Clustering
DIANA 0.0 metric=euclidean
k=181
Clustering
DBSCAN 0.609 eps=0.8795640860967228
MinPts=19
Clustering
Hierarchical Clustering 0.0 method=complete
k=183
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=101
d=0.4
Clustering
Affinity Propagation 0.573 dampfact=0.7725
preference=0.9698910215241808
maxits=4250
convits=200
Clustering
Markov Clustering 0.609 I=6.053353353353354 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.594 v=0.9
cutoff=0.9849455107620905
haircut=T
fluff=T
Clustering