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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=153
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=208		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=16
dc=1.3582306799958523		 Clustering
HDBSCAN 0.0 minPts=36
k=202		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=225		 Clustering
c-Means 0.0 k=74
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=17		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=complete
k=215		 Clustering
fanny 0.0 k=97
membexp=2.0		 Clustering
k-Means 0.0 k=76
nstart=10		 Clustering
DensityCut 0.0 alpha=0.47619047619047616
K=24		 Clustering
clusterONE 1.0 s=17
d=0.9666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=2750
convits=425		 Clustering
Markov Clustering 1.0 I=1.598898898898899 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering