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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 1.0 metric=euclidean
k=51
samples=20		 Clustering
Self Organizing Maps 1.0 x=185
y=132		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=14
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=525
k=788		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=624		 Clustering
c-Means 1.0 k=73
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=654 Clustering
DIANA 1.0 metric=euclidean
k=556		 Clustering
DBSCAN 1.0 eps=6.469243472857636
MinPts=683		 Clustering
Hierarchical Clustering 1.0 method=complete
k=759		 Clustering
fanny 1.0 k=139
membexp=2.0		 Clustering
k-Means 1.0 k=363
nstart=10		 Clustering
DensityCut 1.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.0 s=237
d=0.7333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=38.815460837145814
maxits=4250
convits=350		 Clustering
Markov Clustering 0.0 I=2.0443443443443443 Clustering
Transitivity Clustering 1.0 T=36.095658776484946 Clustering
MCODE 1.0 v=0.9
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering