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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=162
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=241		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=16
dc=0.5223964153830202		 Clustering
HDBSCAN 0.0 minPts=18
k=20		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=219		 Clustering
c-Means 0.0 k=37
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=10		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=single
k=40		 Clustering
fanny 0.0 k=75
membexp=5.0		 Clustering
k-Means 0.0 k=202
nstart=10		 Clustering
DensityCut 0.0 alpha=0.047619047619047616
K=12		 Clustering
clusterONE 1.0 s=1
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.7835946230745302
maxits=4250
convits=200		 Clustering
Markov Clustering 1.0 I=6.89079079079079 Clustering
Transitivity Clustering 0.0 T=1.0228302187078953 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering