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 0.003 k=34 Clustering
clusterdp 0.0 k=21
dc=0.9333333333333333
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=33
Clustering
c-Means 0.0 k=17
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=11 Clustering
DIANA 0.0 metric=euclidean
k=10
Clustering
DBSCAN 0.0 eps=4.433333333333334
MinPts=34
Clustering
Hierarchical Clustering 0.0 method=average
k=2
Clustering
fanny 0.0 k=2
membexp=2.0
Clustering
clusterONE 0.0 s=2
d=0.4666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=4250
convits=200
Clustering
Markov Clustering 0.0 I=9.812912912912914 Clustering
Transitivity Clustering 0.0 T=4.456456456456457 Clustering