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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=200
samples=20		 Clustering
Self Organizing Maps 0.0 x=200
y=180		 Clustering
Spectral Clustering 0.004 k=59 Clustering
clusterdp 0.022 k=24
dc=4.406057739654934		 Clustering
HDBSCAN 0.0 minPts=166
k=200		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=200		 Clustering
c-Means 0.0 k=40
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=194 Clustering
DIANA 0.0 metric=euclidean
k=192		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=47		 Clustering
Hierarchical Clustering 0.0 method=average
k=188		 Clustering
fanny 0.0 k=41
membexp=7.33		 Clustering
k-Means 0.0 k=196
nstart=10		 Clustering
DensityCut 0.083 alpha=0.0
K=2		 Clustering
clusterONE 0.006 s=3
d=0.7		 Clustering
Markov Clustering 1.0 I=5.741541541541543 Clustering
Transitivity Clustering 0.0 T=9.45310352551926 Clustering
MCODE 0.052 v=0.1
cutoff=4.895619710727704
haircut=T
fluff=T		 Clustering