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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=7
samples=20		 Clustering
Self Organizing Maps 0.0 x=117
y=250		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=22
dc=1.0970324723043423		 Clustering
HDBSCAN 0.0 minPts=36
k=250		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=36		 Clustering
c-Means 0.0 k=27
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=140		 Clustering
DBSCAN 0.0 eps=1.4104703215341545
MinPts=208		 Clustering
Hierarchical Clustering 0.0 method=single
k=202		 Clustering
fanny 0.0 k=31
membexp=2.0		 Clustering
k-Means 0.0 k=196
nstart=10		 Clustering
DensityCut 0.0 alpha=0.056770833333333326
K=8		 Clustering
clusterONE 1.0 s=216
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=2750
convits=350		 Clustering
Markov Clustering 1.0 I=5.385185185185186 Clustering
Transitivity Clustering 0.0 T=1.372663253634062 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering