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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=16
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=233		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=9
dc=0.6791153399979262		 Clustering
HDBSCAN 0.0 minPts=64
k=30		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=25		 Clustering
c-Means 0.0 k=6
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=208 Clustering
DIANA 0.0 metric=euclidean
k=149		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=184		 Clustering
fanny 0.0 k=117
membexp=1.1		 Clustering
k-Means 0.0 k=87
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2777777777777778
K=15		 Clustering
clusterONE 0.739 s=250
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=5000
convits=200		 Clustering
Markov Clustering 0.739 I=5.305005005005006 Clustering
Transitivity Clustering 0.0 T=0.991455058624831 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering