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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=628
samples=20		 Clustering
Self Organizing Maps 0.0 x=630
y=263		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=13
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=788
k=413		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=29		 Clustering
c-Means 0.0 k=788
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=684 Clustering
DIANA 0.0 metric=euclidean
k=508		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=complete
k=638		 Clustering
fanny 0.0 k=255
membexp=1.1		 Clustering
k-Means 0.0 k=528
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.783 s=237
d=0.13333333333333333		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=9.703865209286453
maxits=4250
convits=350		 Clustering
Markov Clustering 0.783 I=9.964364364364364 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.9
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering