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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=205
samples=20		 Clustering
Self Organizing Maps 0.0 x=208
y=100		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=3
dc=0.6791153399979262		 Clustering
HDBSCAN 0.0 minPts=15
k=5		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=46		 Clustering
c-Means 0.0 k=124
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=29		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=52		 Clustering
fanny 0.0 k=91
membexp=1.1		 Clustering
k-Means 0.0 k=133
nstart=10		 Clustering
DensityCut 0.0 alpha=0.025829081632653062
K=12		 Clustering
clusterONE 1.0 s=84
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.0
maxits=3500
convits=425		 Clustering
Markov Clustering 1.0 I=9.492192192192192 Clustering
Transitivity Clustering 0.0 T=1.4071759297254327 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering