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=average
metric=euclidean
k=192
Clustering
c-Means 0.0 k=466
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=494 Clustering
DIANA 0.0 metric=euclidean
k=169
Clustering
DBSCAN 0.0 eps=336.6483891173929
MinPts=439
Clustering
Hierarchical Clustering 0.0 method=complete
k=324
Clustering
fanny 0.076 k=157
membexp=5.0
Clustering
clusterONE 0.831 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=87.064238564843
maxits=5000
convits=425
Clustering
Markov Clustering 0.388 I=9.946546546546546 Clustering
Transitivity Clustering 0.0 T=275.04978669734186 Clustering