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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=19
samples=20		 Clustering
Self Organizing Maps 0.0 x=126
y=167		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=20
dc=1.5149496046107584		 Clustering
HDBSCAN 0.0 minPts=4
k=7		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=198		 Clustering
c-Means 0.0 k=177
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=93 Clustering
DIANA 0.0 metric=euclidean
k=187		 Clustering
DBSCAN 0.0 eps=0.6791153399979262
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=single
k=231		 Clustering
fanny 0.0 k=65
membexp=1.1		 Clustering
k-Means 0.0 k=179
nstart=10		 Clustering
DensityCut 0.0 alpha=0.25793650793650796
K=35		 Clustering
clusterONE 0.739 s=42
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.1753919346117954
maxits=5000
convits=350		 Clustering
Markov Clustering 0.739 I=6.374074074074075 Clustering
Transitivity Clustering 0.0 T=1.2095124212021275 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering