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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=487
samples=20		 Clustering
Self Organizing Maps 0.0 x=101
y=40		 Clustering
Spectral Clustering 0.013 k=39 Clustering
clusterdp 0.003 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=12
k=141		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=424		 Clustering
c-Means 0.0 k=442
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=575 Clustering
DIANA 0.0 metric=euclidean
k=598		 Clustering
DBSCAN 0.0 eps=0.4647755061436769
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=single
k=585		 Clustering
fanny 0.0 k=297
membexp=1.1		 Clustering
k-Means 0.0 k=542
nstart=10		 Clustering
DensityCut 0.007 alpha=0.44345238095238093
K=26		 Clustering
clusterONE 0.935 s=380
d=0.0		 Clustering
Affinity Propagation 0.004 dampfact=0.99
preference=10.457448888232731
maxits=4250
convits=350		 Clustering
Markov Clustering 0.935 I=1.6434434434434437 Clustering
Transitivity Clustering 0.0 T=13.901393517090158 Clustering
MCODE 0.017 v=0.6
cutoff=12.781326418951116
haircut=F
fluff=T		 Clustering