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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=61
samples=20		 Clustering
Self Organizing Maps 0.0 x=301
y=208		 Clustering
Spectral Clustering 0.0 k=42 Clustering
clusterdp 0.0 k=10
dc=7.07180944941879		 Clustering
HDBSCAN 0.0 minPts=15
k=267		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=7		 Clustering
c-Means 0.0 k=189
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=174 Clustering
DIANA 0.0 metric=euclidean
k=66		 Clustering
DBSCAN 0.0 eps=9.092326434967017
MinPts=301		 Clustering
Hierarchical Clustering 0.0 method=single
k=115		 Clustering
fanny 0.0 k=61
membexp=2.0		 Clustering
k-Means 0.0 k=60
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05951563517252604
K=6		 Clustering
clusterONE 0.669 s=73
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=425		 Clustering
Markov Clustering 0.669 I=5.946446446446447 Clustering
Transitivity Clustering 0.0 T=28.730173953666213 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering