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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=132
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=210		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=21
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=40
k=260		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=230		 Clustering
c-Means 0.0 k=233
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=138 Clustering
DIANA 0.0 metric=euclidean
k=274		 Clustering
DBSCAN 0.0 eps=0.9765301383526837
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=single
k=166		 Clustering
fanny 0.0 k=99
membexp=5.0		 Clustering
k-Means 0.0 k=188
nstart=10		 Clustering
DensityCut 0.005 alpha=0.1040107709750567
K=2		 Clustering
clusterONE 0.667 s=140
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=29.29590415058051
maxits=5000
convits=500		 Clustering
Markov Clustering 0.471 I=9.091291291291292 Clustering
Transitivity Clustering 0.0 T=27.56571561716284 Clustering