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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
CLARA 0.752 metric=euclidean
k=15
samples=20
Clustering
Self Organizing Maps 0.717 x=61
y=600
Clustering
Spectral Clustering 0.614 k=19 Clustering
clusterdp 0.753 k=15
dc=0.4647755061436769
Clustering
HDBSCAN 0.436 minPts=23
k=6
Clustering
AGNES 0.752 method=single
metric=euclidean
k=8
Clustering
c-Means 0.753 k=20
m=1.5
Clustering
k-Medoids (PAM) 0.753 k=15 Clustering
DIANA 0.703 metric=euclidean
k=10
Clustering
DBSCAN 0.743 eps=9.295510122873539
MinPts=420
Clustering
Hierarchical Clustering 0.733 method=single
k=16
Clustering
fanny 0.726 k=18
membexp=2.0
Clustering
k-Means 0.713 k=18
nstart=10
Clustering
DensityCut 0.753 alpha=0.35416666666666663
K=16
Clustering
clusterONE NaN s=560
d=0.1
Clustering
Affinity Propagation 0.753 dampfact=0.9175
preference=0.0
maxits=3500
convits=500
Clustering
Markov Clustering NaN I=9.706006006006005 Clustering
Transitivity Clustering 0.753 T=12.547542943638605 Clustering
MCODE 0.623 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=F
Clustering