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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=191
samples=20		 Clustering
Self Organizing Maps 0.0 x=175
y=225		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=20
dc=0.6791153399979262		 Clustering
HDBSCAN 0.0 minPts=4
k=5		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=192		 Clustering
c-Means 0.0 k=15
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=51		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=242		 Clustering
fanny 0.0 k=104
membexp=2.0		 Clustering
k-Means 0.0 k=202
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=12		 Clustering
clusterONE 1.0 s=50
d=0.06666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.1753919346117954
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=4.6902902902902905 Clustering
Transitivity Clustering 0.0 T=1.3428568515551509 Clustering
MCODE 0.0 v=0.6
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering