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 0.003 k=28 Clustering
clusterdp 0.0 k=11
dc=1.4
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=32
Clustering
c-Means 0.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=34
Clustering
DBSCAN 0.0 eps=0.7
MinPts=34
Clustering
Hierarchical Clustering 0.0 method=average
k=9
Clustering
fanny 0.0 k=26
membexp=2.0
Clustering
clusterONE 0.0 s=5
d=0.9
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=7.0
maxits=4250
convits=500
Clustering
Markov Clustering 0.0 I=6.454254254254256 Clustering
Transitivity Clustering 0.0 T=0.14714714714714713 Clustering