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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=40
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=67		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=7
dc=0.3134378492298121		 Clustering
HDBSCAN 0.0 minPts=7
k=10		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=5		 Clustering
c-Means 0.0 k=247
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=150 Clustering
DIANA 0.0 metric=euclidean
k=179		 Clustering
DBSCAN 0.0 eps=1.2537513969192484
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=complete
k=40		 Clustering
fanny 0.0 k=100
membexp=2.0		 Clustering
k-Means 0.0 k=64
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09761904761904762
K=27		 Clustering
clusterONE 1.0 s=1
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.7835946230745302
maxits=2750
convits=350		 Clustering
Markov Clustering 1.0 I=5.064464464464464 Clustering
Transitivity Clustering 0.0 T=1.218924969227047 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering