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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=73
samples=20		 Clustering
Self Organizing Maps 0.0 x=43
y=21		 Clustering
Spectral Clustering 0.0 k=60 Clustering
clusterdp 0.0 k=8
dc=19.194911362708144		 Clustering
HDBSCAN 0.0 minPts=11
k=56		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=266		 Clustering
c-Means 0.0 k=255
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=272 Clustering
DIANA 0.0 metric=euclidean
k=69		 Clustering
DBSCAN 0.0 eps=27.276979304901047
MinPts=291		 Clustering
Hierarchical Clustering 0.0 method=complete
k=112		 Clustering
fanny 0.0 k=90
membexp=2.0		 Clustering
k-Means 0.0 k=50
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06956845238095238
K=3		 Clustering
clusterONE 0.669 s=146
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=4250
convits=275		 Clustering
Markov Clustering 0.669 I=6.276076076076077 Clustering
Transitivity Clustering 0.0 T=29.245921532559905 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering