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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=8
samples=20		 Clustering
Self Organizing Maps 0.0 x=35
y=167		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=21
dc=0.7835946230745302		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=43		 Clustering
c-Means 0.0 k=47
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=20		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=178		 Clustering
fanny 0.0 k=92
membexp=5.0		 Clustering
k-Means 0.0 k=33
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06940901360544217
K=6		 Clustering
clusterONE 0.739 s=125
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 0.739 I=6.970970970970971 Clustering
Transitivity Clustering 0.0 T=1.0479303467743466 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering