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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 1.0 metric=euclidean
k=78
samples=20		 Clustering
Self Organizing Maps 1.0 x=312
y=249		 Clustering
Spectral Clustering 1.0 k=84 Clustering
clusterdp 1.0 k=22
dc=8.082067942192904		 Clustering
HDBSCAN 1.0 minPts=6
k=43		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=65		 Clustering
c-Means 1.0 k=177
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=120 Clustering
DIANA 1.0 metric=euclidean
k=124		 Clustering
DBSCAN 1.0 eps=18.184652869934034
MinPts=270		 Clustering
Hierarchical Clustering 1.0 method=single
k=237		 Clustering
fanny 1.0 k=133
membexp=2.0		 Clustering
k-Means 1.0 k=272
nstart=10		 Clustering
DensityCut 1.0 alpha=0.01984126984126984
K=7		 Clustering
clusterONE 0.0 s=125
d=0.5666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=15.153877391611694
maxits=4250
convits=425		 Clustering
Markov Clustering 0.0 I=8.200400400400401 Clustering
Transitivity Clustering 1.0 T=29.124569161055508 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering