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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 0.543 metric=euclidean
k=7
samples=20		 Clustering
Self Organizing Maps 0.509 x=18
y=84		 Clustering
Spectral Clustering 0.39 k=14 Clustering
clusterdp 0.539 k=6
dc=0.05223964153830201		 Clustering
HDBSCAN 0.492 minPts=3
k=5		 Clustering
AGNES 0.558 method=flexible
metric=euclidean
k=7		 Clustering
c-Means 0.563 k=6
m=5.0		 Clustering
k-Medoids (PAM) 0.562 k=10 Clustering
DIANA 0.534 metric=euclidean
k=7		 Clustering
DBSCAN 0.437 eps=1.3059910384575502
MinPts=225		 Clustering
Hierarchical Clustering 0.558 method=complete
k=6		 Clustering
fanny NaN k=3
membexp=2.0		 Clustering
k-Means 0.563 k=6
nstart=10		 Clustering
DensityCut 0.501 alpha=0.01984126984126984
K=5		 Clustering
clusterONE NaN s=1
d=0.16666666666666666		 Clustering
Affinity Propagation 0.465 dampfact=0.845
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering NaN I=1.206906906906907 Clustering
Transitivity Clustering 0.563 T=1.2314750332602729 Clustering
MCODE 0.41 v=0.4
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering