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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 0.0 metric=euclidean
k=106
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=250		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=20
dc=2.6496		 Clustering
HDBSCAN 0.0 minPts=7
k=28		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=216		 Clustering
c-Means 0.0 k=244
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=208 Clustering
DIANA 0.0 metric=euclidean
k=182		 Clustering
DBSCAN 0.0 eps=2.5392
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=complete
k=47		 Clustering
fanny 0.0 k=249
membexp=5.0		 Clustering
k-Means 0.0 k=197
nstart=10		 Clustering
DensityCut 0.0 alpha=0.034528459821428555
K=5		 Clustering
clusterONE 1.0 s=142
d=0.06666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=3.3120000000000003
maxits=4250
convits=200		 Clustering
Markov Clustering 0.5 I=8.734934934934936 Clustering
Transitivity Clustering 0.0 T=3.0268828828828833 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering