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
CLARA 2.517 metric=euclidean
k=2
samples=20
Clustering
Self Organizing Maps 2.285 x=2
y=1
Clustering
Spectral Clustering 2.285 k=26 Clustering
clusterdp 2.938 k=25
dc=0.18305279050286807
Clustering
HDBSCAN Infinity minPts=22
k=38
Clustering
AGNES Infinity method=ward
metric=euclidean
k=38
Clustering
c-Means Infinity k=38
m=5.0
Clustering
k-Medoids (PAM) 2.885 k=3 Clustering
DIANA Infinity metric=euclidean
k=38
Clustering
DBSCAN Infinity eps=0.16271359155810494
MinPts=5
Clustering
Hierarchical Clustering Infinity method=complete
k=38
Clustering
fanny 2.687 k=3
membexp=1.1
Clustering
k-Means 2.687 k=3
nstart=10
Clustering
DensityCut 2.519 alpha=0.7558035714285714
K=2
Clustering
clusterONE 2.901 s=10
d=0.8333333333333334
Clustering
Affinity Propagation Infinity dampfact=0.99
preference=0.6101759683428936
maxits=2000
convits=350
Clustering
Markov Clustering 2.657 I=9.93763763763764 Clustering
Transitivity Clustering Infinity T=0.5032882862007451 Clustering