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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=141
samples=20		 Clustering
Self Organizing Maps 0.0 x=18
y=225		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=23
dc=1.2537513969192484		 Clustering
HDBSCAN 0.0 minPts=250
k=214		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=7		 Clustering
c-Means 0.0 k=182
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=173 Clustering
DIANA 0.0 metric=euclidean
k=180		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=single
k=155		 Clustering
fanny 0.0 k=50
membexp=1.1		 Clustering
k-Means 0.0 k=88
nstart=10		 Clustering
DensityCut 0.0 alpha=0.23809523809523808
K=24		 Clustering
clusterONE 0.739 s=84
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.0
maxits=2750
convits=275		 Clustering
Markov Clustering 0.739 I=1.2959959959959961 Clustering
Transitivity Clustering 0.0 T=0.9977300906414439 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering