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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=721
samples=20		 Clustering
Self Organizing Maps 1.0 x=185
y=132		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=10
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=184
k=604		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=96		 Clustering
c-Means 1.0 k=7
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=602 Clustering
DIANA 1.0 metric=euclidean
k=381		 Clustering
DBSCAN 1.0 eps=3.881546083714581
MinPts=630		 Clustering
Hierarchical Clustering 1.0 method=single
k=537		 Clustering
fanny 1.0 k=245
membexp=5.0		 Clustering
k-Means 1.0 k=655
nstart=10		 Clustering
DensityCut 1.0 alpha=0.0015625
K=10		 Clustering
clusterONE 0.0 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=38.815460837145814
maxits=5000
convits=500		 Clustering
Markov Clustering 0.0 I=6.926426426426427 Clustering
Transitivity Clustering 1.0 T=36.095658776484946 Clustering
MCODE 1.0 v=0.9
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering