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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=623
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=604		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=20
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=52
k=164		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=22		 Clustering
c-Means 0.0 k=788
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=638 Clustering
DIANA 0.0 metric=euclidean
k=679		 Clustering
DBSCAN 0.0 eps=5.175394778286108
MinPts=604		 Clustering
Hierarchical Clustering 0.0 method=single
k=579		 Clustering
fanny 0.0 k=222
membexp=1.1		 Clustering
k-Means 0.0 k=352
nstart=10		 Clustering
DensityCut 0.0 alpha=3.255208333333333E-4
K=6		 Clustering
clusterONE 0.783 s=1
d=0.03333333333333333		 Clustering
Affinity Propagation 0.002 dampfact=0.7725
preference=9.703865209286453
maxits=2750
convits=500		 Clustering
Markov Clustering 0.783 I=2.169069069069069 Clustering
Transitivity Clustering 0.0 T=35.279718158286684 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering