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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=559
samples=20		 Clustering
Self Organizing Maps 1.0 x=185
y=132		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=12
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=132
k=683		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=615		 Clustering
c-Means 1.0 k=122
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=497 Clustering
DIANA 1.0 metric=euclidean
k=682		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=525		 Clustering
Hierarchical Clustering 1.0 method=average
k=605		 Clustering
fanny 1.0 k=248
membexp=2.0		 Clustering
k-Means 1.0 k=325
nstart=10		 Clustering
DensityCut 1.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.0 s=237
d=0.8666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=38.815460837145814
maxits=5000
convits=500		 Clustering
Markov Clustering 0.0 I=2.124524524524525 Clustering
Transitivity Clustering 1.0 T=36.095658776484946 Clustering
MCODE 1.0 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering