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=136
Clustering
c-Means 0.0 k=476
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=394 Clustering
DIANA 0.0 metric=euclidean
k=456
Clustering
DBSCAN 0.0 eps=290.21412854947664
MinPts=405
Clustering
Hierarchical Clustering 0.0 method=complete
k=225
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=348.256954259372
maxits=2000
convits=500
Clustering
Markov Clustering 0.388 I=9.946546546546546 Clustering
Transitivity Clustering 0.0 T=257.9681142662015 Clustering