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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=164
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=240		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=10
dc=9.838981428763628		 Clustering
HDBSCAN 0.0 minPts=2
k=38		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=94		 Clustering
c-Means 0.0 k=196
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=94 Clustering
DIANA 0.0 metric=euclidean
k=126		 Clustering
DBSCAN 0.0 eps=8.855083285887266
MinPts=176		 Clustering
Hierarchical Clustering 0.0 method=single
k=229		 Clustering
fanny 0.0 k=117
membexp=5.0		 Clustering
k-Means 0.0 k=152
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6214285714285713
K=9		 Clustering
clusterONE 0.464 s=96
d=0.6666666666666666		 Clustering
Affinity Propagation 0.014 dampfact=0.7725
preference=0.0
maxits=4250
convits=500		 Clustering
Markov Clustering 0.464 I=9.625825825825826 Clustering
Transitivity Clustering 0.0 T=13.901623910610473 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering