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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 0.858 metric=euclidean
k=41
samples=20		 Clustering
Self Organizing Maps 0.98 x=2
y=1		 Clustering
Spectral Clustering 0.97 k=2 Clustering
clusterdp 0.831 k=2
dc=0.0		 Clustering
HDBSCAN 0.833 minPts=44
k=1		 Clustering
AGNES 0.914 method=flexible
metric=euclidean
k=2		 Clustering
c-Means 0.975 k=3
m=1.5		 Clustering
k-Medoids (PAM) 0.858 k=4 Clustering
DIANA 0.97 metric=euclidean
k=3		 Clustering
DBSCAN 0.833 eps=1.4686859132183112
MinPts=1		 Clustering
Hierarchical Clustering 0.88 method=average
k=12		 Clustering
fanny 0.975 k=2
membexp=1.99		 Clustering
k-Means 0.975 k=3
nstart=10		 Clustering
DensityCut 0.833 alpha=0.8095238095238095
K=29		 Clustering
clusterONE 0.924 s=18
d=0.16666666666666666		 Clustering
Markov Clustering 0.833 I=1.2336336336336338 Clustering
Transitivity Clustering 0.833 T=0.6174655491007915 Clustering
MCODE 0.833 v=0.0
cutoff=4.283667246886741
haircut=T
fluff=T		 Clustering