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 0.997 k=28 Clustering
clusterdp 1.0 k=19
dc=0.7
Clustering
AGNES 1.0 method=single
metric=euclidean
k=6
Clustering
c-Means 1.0 k=2
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=8 Clustering
DIANA 1.0 metric=euclidean
k=12
Clustering
DBSCAN 1.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 1.0 method=single
k=4
Clustering
fanny 1.0 k=12
membexp=1.1
Clustering
clusterONE 1.0 s=3
d=0.7666666666666667
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=5.25
maxits=4250
convits=200
Clustering
Markov Clustering 1.0 I=1.50980980980981 Clustering
Transitivity Clustering 1.0 T=4.554554554554555 Clustering