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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=173
samples=20		 Clustering
Self Organizing Maps 0.0 x=81
y=270		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=22
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=57
k=271		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=79		 Clustering
c-Means 0.0 k=300
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=149 Clustering
DIANA 0.0 metric=euclidean
k=22		 Clustering
DBSCAN 0.0 eps=7.812241106821469
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=average
k=143		 Clustering
fanny 0.0 k=100
membexp=2.0		 Clustering
k-Means 0.0 k=252
nstart=10		 Clustering
DensityCut 0.005 alpha=0.08657879818594105
K=2		 Clustering
clusterONE 0.667 s=200
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=29.29590415058051
maxits=4250
convits=500		 Clustering
Markov Clustering 0.471 I=9.046746746746747 Clustering
Transitivity Clustering 0.0 T=27.62436607592276 Clustering