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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=173
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=233		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=23
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=20
k=35		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=234		 Clustering
c-Means 0.0 k=13
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=27 Clustering
DIANA 0.0 metric=euclidean
k=158		 Clustering
DBSCAN 0.0 eps=1.5149496046107584
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=average
k=64		 Clustering
fanny 0.0 k=117
membexp=1.1		 Clustering
k-Means 0.0 k=179
nstart=10		 Clustering
DensityCut 0.0 alpha=0.23809523809523808
K=24		 Clustering
clusterONE 0.739 s=50
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.1753919346117954
maxits=2000
convits=425		 Clustering
Markov Clustering 0.739 I=3.4163163163163164 Clustering
Transitivity Clustering 0.0 T=1.5154202320120043 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering