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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=237
samples=20		 Clustering
Self Organizing Maps 0.0 x=31
y=240		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=57
k=243		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=88		 Clustering
c-Means 0.0 k=29
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=125 Clustering
DIANA 0.0 metric=euclidean
k=198		 Clustering
DBSCAN 0.0 eps=1.9530602767053673
MinPts=270		 Clustering
Hierarchical Clustering 0.0 method=single
k=274		 Clustering
fanny 0.0 k=104
membexp=5.0		 Clustering
k-Means 0.0 k=213
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08657879818594105
K=2		 Clustering
clusterONE 1.0 s=90
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=29.29590415058051
maxits=5000
convits=275		 Clustering
Markov Clustering 0.352 I=9.1002002002002 Clustering
Transitivity Clustering 0.0 T=27.800317452202524 Clustering