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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=177
samples=20		 Clustering
Self Organizing Maps 0.0 x=33
y=8		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=10
dc=6.88728700013454		 Clustering
HDBSCAN 0.0 minPts=72
k=232		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=13		 Clustering
c-Means 0.0 k=69
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=222 Clustering
DIANA 0.0 metric=euclidean
k=230		 Clustering
DBSCAN 0.0 eps=7.379236071572722
MinPts=192		 Clustering
Hierarchical Clustering 0.0 method=average
k=22		 Clustering
fanny 0.0 k=98
membexp=1.1		 Clustering
k-Means 0.0 k=222
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5089285714285714
K=9		 Clustering
clusterONE 0.464 s=192
d=0.06666666666666667		 Clustering
Affinity Propagation 0.014 dampfact=0.9175
preference=0.0
maxits=3500
convits=200		 Clustering
Markov Clustering 0.464 I=2.8461461461461464 Clustering
Transitivity Clustering 0.0 T=13.812984438279267 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering