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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=303
samples=20		 Clustering
Self Organizing Maps 0.0 x=630
y=263		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=20
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=184
k=630		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=180		 Clustering
c-Means 0.0 k=93
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=780 Clustering
DIANA 0.0 metric=euclidean
k=526		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=525		 Clustering
Hierarchical Clustering 0.0 method=single
k=572		 Clustering
fanny 0.0 k=122
membexp=5.0		 Clustering
k-Means 0.0 k=682
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 1.0 s=132
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=38.815460837145814
maxits=2000
convits=425		 Clustering
Markov Clustering 1.0 I=7.808408408408408 Clustering
Transitivity Clustering 0.0 T=38.03837453409985 Clustering
MCODE 0.0 v=0.7
cutoff=35.58083910071699
haircut=F
fluff=T		 Clustering