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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=112
samples=20		 Clustering
Self Organizing Maps 0.0 x=220
y=60		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=40
k=240		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=238		 Clustering
c-Means 0.0 k=170
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=149 Clustering
DIANA 0.0 metric=euclidean
k=69		 Clustering
DBSCAN 0.0 eps=3.9061205534107346
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=single
k=103		 Clustering
fanny 0.0 k=99
membexp=5.0		 Clustering
k-Means 0.0 k=169
nstart=10		 Clustering
DensityCut 0.005 alpha=0.1040107709750567
K=2		 Clustering
clusterONE 0.667 s=90
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=29.29590415058051
maxits=2750
convits=350		 Clustering
Markov Clustering 0.471 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=29.149278003680706 Clustering