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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 1.0 metric=euclidean
k=132
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=16
dc=1.4359422456040531		 Clustering
HDBSCAN 1.0 minPts=6
k=47		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=164		 Clustering
c-Means 1.0 k=102
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=213 Clustering
DIANA 1.0 metric=euclidean
k=55		 Clustering
DBSCAN 1.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=single
k=64		 Clustering
fanny 1.0 k=62
membexp=2.0		 Clustering
k-Means 1.0 k=218
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9352678571428571
K=7		 Clustering
clusterONE 0.0 s=191
d=0.6666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.9790515310936726
maxits=5000
convits=350		 Clustering
Markov Clustering 0.0 I=4.2092092092092095 Clustering
Transitivity Clustering 1.0 T=2.7088072391820934 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering