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 5.204 metric=euclidean
k=3
samples=20
Clustering
Self Organizing Maps 5.204 x=2
y=1
Clustering
Spectral Clustering 5.204 k=6 Clustering
clusterdp 5.204 k=2
dc=9.808422684384862
Clustering
HDBSCAN Infinity minPts=266
k=399
Clustering
AGNES Infinity method=average
metric=euclidean
k=399
Clustering
c-Means Infinity k=230
m=3.5
Clustering
k-Medoids (PAM) 5.204 k=2 Clustering
DIANA Infinity metric=euclidean
k=397
Clustering
DBSCAN Infinity eps=0.0
MinPts=133
Clustering
Hierarchical Clustering Infinity method=single
k=397
Clustering
fanny Infinity k=161
membexp=2.0
Clustering
k-Means 5.204 k=2
nstart=10
Clustering
DensityCut 5.204 alpha=0.8095238095238095
K=38
Clustering
clusterONE -Infinity s=27
d=0.8666666666666667
Clustering
Affinity Propagation Infinity dampfact=0.845
preference=36.781585066443235
maxits=2000
convits=500
Clustering
Markov Clustering -Infinity I=3.1757757757757763 Clustering
Transitivity Clustering Infinity T=36.781585066443235 Clustering
MCODE 1.81 v=0.9
cutoff=29.11875484426756
haircut=F
fluff=F
Clustering