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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=306
samples=20		 Clustering
Self Organizing Maps 0.0 x=260
y=260		 Clustering
Spectral Clustering 0.0 k=5 Clustering
clusterdp 0.0 k=22
dc=20.20516985548226		 Clustering
HDBSCAN 0.0 minPts=19
k=177		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=274		 Clustering
c-Means 0.0 k=86
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=289 Clustering
DIANA 0.0 metric=euclidean
k=38		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=11		 Clustering
Hierarchical Clustering 0.0 method=complete
k=103		 Clustering
fanny 0.0 k=142
membexp=1.1		 Clustering
k-Means 0.0 k=217
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06430697278911565
K=2		 Clustering
clusterONE 1.0 s=260
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=1.1979979979979982 Clustering
Transitivity Clustering 0.0 T=27.486312145746137 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering