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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 1.0 metric=euclidean
k=197
samples=20		 Clustering
Self Organizing Maps 1.0 x=200
y=160		 Clustering
Spectral Clustering 0.995 k=110 Clustering
clusterdp 0.957 k=3
dc=4.856014153958941		 Clustering
HDBSCAN 1.0 minPts=181
k=200		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=200		 Clustering
c-Means 1.0 k=174
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=199 Clustering
DIANA 1.0 metric=euclidean
k=199		 Clustering
DBSCAN 1.0 eps=11.533033615652483
MinPts=20		 Clustering
Hierarchical Clustering 1.0 method=complete
k=200		 Clustering
fanny 1.0 k=21
membexp=4.956666666666666		 Clustering
k-Means 1.0 k=198
nstart=10		 Clustering
DensityCut 0.267 alpha=0.4583333333333333
K=3		 Clustering
clusterONE 0.98 s=8
d=0.6		 Clustering
Markov Clustering 0.0 I=7.701501501501503 Clustering
Transitivity Clustering 1.0 T=9.095912397993661 Clustering
MCODE 0.937 v=0.2
cutoff=4.552513269336507
haircut=T
fluff=T		 Clustering