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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=188
samples=20		 Clustering
Self Organizing Maps 0.0 x=160
y=200		 Clustering
Spectral Clustering 0.004 k=59 Clustering
clusterdp 0.022 k=23
dc=4.895619710727704		 Clustering
HDBSCAN 0.0 minPts=143
k=200		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=175		 Clustering
c-Means 0.0 k=78
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=198 Clustering
DIANA 0.0 metric=euclidean
k=199		 Clustering
DBSCAN 0.0 eps=13.218173218964802
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=187		 Clustering
fanny 0.0 k=61
membexp=4.66		 Clustering
k-Means 0.0 k=198
nstart=10		 Clustering
DensityCut 0.083 alpha=0.0
K=2		 Clustering
clusterONE 0.006 s=2
d=0.7		 Clustering
Markov Clustering 1.0 I=3.1045045045045048 Clustering
Transitivity Clustering 0.0 T=13.275509305667017 Clustering
MCODE 0.052 v=0.1
cutoff=4.895619710727704
haircut=F
fluff=F		 Clustering