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 0.067 k=278 Clustering
clusterdp 0.017 k=20
dc=0.8571311366973593
Clustering
AGNES 0.0 method=single
metric=euclidean
k=289
Clustering
c-Means 0.0 k=281
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=147 Clustering
DIANA 0.0 metric=euclidean
k=81
Clustering
DBSCAN 0.0 eps=0.4897540596334259
MinPts=10
Clustering
Hierarchical Clustering 0.0 method=average
k=283
Clustering
fanny 0.0 k=69
membexp=5.0
Clustering
clusterONE 0.446 s=234
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.6938524357800555
maxits=2750
convits=200
Clustering
Markov Clustering 0.446 I=7.683683683683683 Clustering
Transitivity Clustering 0.0 T=0.8167404970935667 Clustering