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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=770
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=7
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=188
k=600		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=62		 Clustering
c-Means 0.0 k=668
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=199 Clustering
DIANA 0.0 metric=euclidean
k=674		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=complete
k=432		 Clustering
fanny 0.0 k=262
membexp=2.0		 Clustering
k-Means 0.0 k=655
nstart=10		 Clustering
DensityCut 0.0 alpha=3.255208333333333E-4
K=6		 Clustering
clusterONE 0.783 s=105
d=0.7		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=9.703865209286453
maxits=4250
convits=350		 Clustering
Markov Clustering 0.783 I=2.6768768768768765 Clustering
Transitivity Clustering 0.0 T=34.81346637645911 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=F
fluff=T		 Clustering