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 0.301 k=4 Clustering
clusterdp 0.381 k=25
dc=0.9860398162166449
Clustering
AGNES 0.387 method=flexible
metric=euclidean
k=3
Clustering
c-Means 0.361 k=8
m=1.01
Clustering
k-Medoids (PAM) 0.381 k=3 Clustering
DIANA 0.387 metric=euclidean
k=1
Clustering
DBSCAN 0.387 eps=0.9627728432443861
MinPts=1
Clustering
Hierarchical Clustering 0.381 method=single
k=4
Clustering
fanny 0.39 k=9
membexp=5.0
Clustering
clusterONE 0.387 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.387 dampfact=0.845
preference=0.9301990810832238
maxits=3500
convits=350
Clustering
Markov Clustering 0.387 I=9.955455455455455 Clustering
Transitivity Clustering 0.387 T=0.9557717901157965 Clustering