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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=181
samples=20		 Clustering
Self Organizing Maps 0.0 x=160
y=200		 Clustering
Spectral Clustering 0.004 k=59 Clustering
clusterdp 0.022 k=6
dc=5.385181681800475		 Clustering
HDBSCAN 0.0 minPts=105
k=200		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=200		 Clustering
c-Means 0.0 k=96
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=197 Clustering
DIANA 0.0 metric=euclidean
k=184		 Clustering
DBSCAN 0.0 eps=3.9164957685821635
MinPts=73		 Clustering
Hierarchical Clustering 0.0 method=complete
k=199		 Clustering
fanny 0.0 k=48
membexp=2.5833333333333335		 Clustering
k-Means 0.0 k=179
nstart=10		 Clustering
DensityCut 0.083 alpha=0.0
K=2		 Clustering
clusterONE 0.006 s=1
d=0.6333333333333333		 Clustering
Markov Clustering 1.0 I=2.7926926926926927 Clustering
Transitivity Clustering 0.0 T=8.703323930182586 Clustering
MCODE 0.052 v=0.1
cutoff=4.895619710727704
haircut=T
fluff=F		 Clustering