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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=80
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=133		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=21
dc=0.10447928307660402		 Clustering
HDBSCAN 0.0 minPts=4
k=7		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=140		 Clustering
c-Means 0.0 k=41
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=137 Clustering
DIANA 0.0 metric=euclidean
k=142		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=32		 Clustering
fanny 0.0 k=116
membexp=5.0		 Clustering
k-Means 0.0 k=177
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03660714285714285
K=12		 Clustering
clusterONE 0.739 s=200
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.1753919346117954
maxits=4250
convits=275		 Clustering
Markov Clustering 0.739 I=3.7637637637637638 Clustering
Transitivity Clustering 0.0 T=0.9977300906414439 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering