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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 0.758 metric=euclidean
k=41
samples=20		 Clustering
Self Organizing Maps 0.961 x=2
y=1		 Clustering
Spectral Clustering 0.942 k=2 Clustering
clusterdp 0.716 k=25
dc=10.77036336360095		 Clustering
HDBSCAN 0.512 minPts=73
k=113		 Clustering
AGNES 0.844 method=flexible
metric=euclidean
k=2		 Clustering
c-Means 0.956 k=2
m=2.25		 Clustering
k-Medoids (PAM) 0.758 k=4 Clustering
DIANA 0.942 metric=euclidean
k=3		 Clustering
DBSCAN 0.503 eps=14.686859132183113
MinPts=7		 Clustering
Hierarchical Clustering 0.82 method=average
k=12		 Clustering
fanny 0.951 k=2
membexp=1.99		 Clustering
k-Means 0.951 k=3
nstart=10		 Clustering
DensityCut 0.651 alpha=7.8125E-4
K=3		 Clustering
clusterONE 0.861 s=18
d=0.16666666666666666		 Clustering
Markov Clustering 0.497 I=1.2336336336336338 Clustering
Transitivity Clustering 0.748 T=4.572185375484433 Clustering
MCODE 0.622 v=0.9
cutoff=4.895619710727704
haircut=T
fluff=F		 Clustering