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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=145
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=9
dc=1.2537513969192484		 Clustering
HDBSCAN 0.0 minPts=25
k=25		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=161		 Clustering
c-Means 0.0 k=19
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=113 Clustering
DIANA 0.0 metric=euclidean
k=39		 Clustering
DBSCAN 0.0 eps=0.6268756984596242
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=single
k=103		 Clustering
fanny 0.0 k=15
membexp=2.0		 Clustering
k-Means 0.0 k=131
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0732142857142857
K=12		 Clustering
clusterONE 0.739 s=84
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering 0.739 I=3.977577577577578 Clustering
Transitivity Clustering 0.0 T=1.2801065313890223 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering