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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 0.988 metric=euclidean
k=15
samples=20
Clustering
Self Organizing Maps 0.986 x=61
y=600
Clustering
Spectral Clustering 0.949 k=25 Clustering
clusterdp 0.994 k=17
dc=0.9295510122873538
Clustering
HDBSCAN 0.961 minPts=2
k=39
Clustering
AGNES 0.992 method=single
metric=euclidean
k=8
Clustering
c-Means 0.994 k=20
m=1.5
Clustering
k-Medoids (PAM) 0.994 k=15 Clustering
DIANA 0.973 metric=euclidean
k=10
Clustering
DBSCAN 0.983 eps=9.760285629017215
MinPts=400
Clustering
Hierarchical Clustering 0.991 method=complete
k=14
Clustering
fanny 0.988 k=18
membexp=2.0
Clustering
k-Means 0.976 k=18
nstart=10
Clustering
DensityCut 0.994 alpha=0.2857142857142857
K=29
Clustering
clusterONE 0.0 s=120
d=0.8
Clustering
Affinity Propagation 0.994 dampfact=0.845
preference=0.0
maxits=2000
convits=275
Clustering
Markov Clustering 0.0 I=6.32952952952953 Clustering
Transitivity Clustering 0.994 T=12.547542943638605 Clustering
MCODE 0.96 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=F
Clustering