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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 0.541 metric=euclidean
k=16
samples=20		 Clustering
Self Organizing Maps 0.515 x=2
y=1		 Clustering
Spectral Clustering 0.505 k=7 Clustering
clusterdp 0.54 k=2
dc=1.9530602767053673		 Clustering
HDBSCAN 0.159 minPts=40
k=10		 Clustering
AGNES 0.539 method=ward
metric=euclidean
k=3		 Clustering
c-Means 0.542 k=3
m=1.01		 Clustering
k-Medoids (PAM) 0.542 k=3 Clustering
DIANA 0.515 metric=euclidean
k=3		 Clustering
DBSCAN 0.391 eps=29.29590415058051
MinPts=10		 Clustering
Hierarchical Clustering 0.539 method=average
k=3		 Clustering
fanny 0.542 k=10
membexp=5.0		 Clustering
k-Means 0.542 k=3
nstart=10		 Clustering
DensityCut 0.515 alpha=0.047619047619047616
K=29		 Clustering
clusterONE NaN s=1
d=0.06666666666666667		 Clustering
Affinity Propagation 0.403 dampfact=0.7
preference=21.97192811293538
maxits=2000
convits=200		 Clustering
Markov Clustering 0.514 I=9.091291291291292 Clustering
Transitivity Clustering 0.535 T=15.601022030138969 Clustering