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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=5
dc=4.895619710727704		 Clustering
HDBSCAN 0.0 minPts=67
k=200		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=192		 Clustering
c-Means 0.0 k=22
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=191 Clustering
DIANA 0.0 metric=euclidean
k=197		 Clustering
DBSCAN 0.0 eps=12.23904927681926
MinPts=7		 Clustering
Hierarchical Clustering 0.0 method=average
k=185		 Clustering
fanny 0.0 k=41
membexp=6.44		 Clustering
k-Means 0.0 k=188
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=1.8038038038038038 Clustering
Transitivity Clustering 0.0 T=9.717731617991028 Clustering
MCODE 0.052 v=0.1
cutoff=4.895619710727704
haircut=T
fluff=T		 Clustering