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 0.691 k=2 Clustering
clusterdp 0.97 k=23
dc=3.5
Clustering
AGNES 1.0 method=complete
metric=euclidean
k=2
Clustering
c-Means 1.0 k=2
m=3.5
Clustering
k-Medoids (PAM) 0.94 k=3 Clustering
DIANA 0.834 metric=euclidean
k=1
Clustering
DBSCAN 0.834 eps=0.4666666666666667
MinPts=10
Clustering
Hierarchical Clustering 1.0 method=average
k=2
Clustering
fanny 1.0 k=2
membexp=2.0
Clustering
clusterONE 0.847 s=7
d=0.6
Clustering
Affinity Propagation 0.612 dampfact=0.845
preference=1.75
maxits=2750
convits=350
Clustering
Markov Clustering 1.0 I=1.8038038038038038 Clustering
Transitivity Clustering 1.0 T=0.11211211211211211 Clustering