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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=209
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=9		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=11
dc=1.4627099630724563		 Clustering
HDBSCAN 0.0 minPts=36
k=214		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=53		 Clustering
c-Means 0.0 k=51
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=165		 Clustering
DBSCAN 0.0 eps=1.0447928307660403
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=average
k=143		 Clustering
fanny 0.0 k=51
membexp=1.1		 Clustering
k-Means 0.0 k=144
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09761904761904762
K=9		 Clustering
clusterONE 1.0 s=167
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.7835946230745302
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=6.552252252252253 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering