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 0.062 k=34 Clustering
clusterdp 0.391 k=13
dc=301.82269369145575
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=204
Clustering
c-Means 0.0 k=313
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=168 Clustering
DIANA 0.0 metric=euclidean
k=331
Clustering
DBSCAN 0.0 eps=313.4312588334348
MinPts=405
Clustering
Hierarchical Clustering 0.0 method=average
k=249
Clustering
fanny 0.076 k=157
membexp=5.0
Clustering
clusterONE 0.831 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=261.192715694529
maxits=4250
convits=425
Clustering
Markov Clustering 0.388 I=10.0 Clustering
Transitivity Clustering 0.0 T=342.33065974244573 Clustering