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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=579
samples=20		 Clustering
Self Organizing Maps 1.0 x=630
y=263		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=7
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=132
k=604		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=10		 Clustering
c-Means 1.0 k=573
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=699 Clustering
DIANA 1.0 metric=euclidean
k=467		 Clustering
DBSCAN 1.0 eps=6.469243472857636
MinPts=683		 Clustering
Hierarchical Clustering 1.0 method=complete
k=560		 Clustering
fanny 1.0 k=73
membexp=1.1		 Clustering
k-Means 1.0 k=318
nstart=10		 Clustering
DensityCut 1.0 alpha=0.0015625
K=10		 Clustering
clusterONE 0.0 s=446
d=0.9666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=38.815460837145814
maxits=3500
convits=425		 Clustering
Markov Clustering 0.0 I=2.3116116116116117 Clustering
Transitivity Clustering 1.0 T=38.815460837145814 Clustering
MCODE 1.0 v=0.9
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering