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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=57
samples=20		 Clustering
Self Organizing Maps 1.0 x=68
y=42		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=7
dc=3.785665920228867		 Clustering
HDBSCAN 1.0 minPts=250
k=238		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=28		 Clustering
c-Means 1.0 k=52
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=213 Clustering
DIANA 1.0 metric=euclidean
k=90		 Clustering
DBSCAN 1.0 eps=1.4359422456040531
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=single
k=145		 Clustering
fanny 1.0 k=84
membexp=1.1		 Clustering
k-Means 1.0 k=131
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9486607142857143
K=7		 Clustering
clusterONE 0.0 s=233
d=0.4		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.9581030621873452
maxits=2000
convits=425		 Clustering
Markov Clustering 0.0 I=7.995495495495495 Clustering
Transitivity Clustering 1.0 T=3.042017970485245 Clustering
MCODE 0.999 v=0.8
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering