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 0.755 k=5 Clustering
clusterdp 0.742 k=12
dc=220.56273769760224
Clustering
AGNES 0.716 method=flexible
metric=euclidean
k=31
Clustering
c-Means 0.752 k=9
m=5.0
Clustering
k-Medoids (PAM) 0.636 k=6 Clustering
DIANA 0.53 metric=euclidean
k=13
Clustering
DBSCAN 0.501 eps=34.8256954259372
MinPts=119
Clustering
Hierarchical Clustering 0.717 method=complete
k=40
Clustering
fanny 0.555 k=62
membexp=5.0
Clustering
clusterONE 0.501 s=68
d=0.9
Clustering
Affinity Propagation 0.187 dampfact=0.7
preference=0.0
maxits=3500
convits=425
Clustering
Markov Clustering 0.651 I=2.32942942942943 Clustering
Transitivity Clustering 0.719 T=2.4402389187343383 Clustering