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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=200
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=7
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=11
k=121		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=615		 Clustering
c-Means 0.0 k=47
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=189 Clustering
DIANA 0.0 metric=euclidean
k=453		 Clustering
DBSCAN 0.0 eps=3.881546083714581
MinPts=630		 Clustering
Hierarchical Clustering 0.0 method=average
k=359		 Clustering
fanny 0.0 k=96
membexp=2.0		 Clustering
k-Means 0.0 k=363
nstart=10		 Clustering
DensityCut 0.0 alpha=3.255208333333333E-4
K=6		 Clustering
clusterONE 1.0 s=709
d=0.9		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=38.815460837145814
maxits=2750
convits=200		 Clustering
Markov Clustering 1.0 I=9.126926926926927 Clustering
Transitivity Clustering 0.0 T=37.76639432803376 Clustering
MCODE 0.0 v=0.9
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering