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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 1.0 metric=euclidean
k=250
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=11		 Clustering
Spectral Clustering 1.0 k=84 Clustering
clusterdp 1.0 k=21
dc=5.051292463870565		 Clustering
HDBSCAN 1.0 minPts=5
k=39		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=71		 Clustering
c-Means 1.0 k=152
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=117 Clustering
DIANA 1.0 metric=euclidean
k=123		 Clustering
DBSCAN 1.0 eps=9.092326434967017
MinPts=301		 Clustering
Hierarchical Clustering 1.0 method=complete
k=235		 Clustering
fanny 1.0 k=122
membexp=1.1		 Clustering
k-Means 1.0 k=284
nstart=10		 Clustering
DensityCut 1.0 alpha=0.01984126984126984
K=7		 Clustering
clusterONE 0.0 s=156
d=0.03333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=30.307754783223388
maxits=3500
convits=200		 Clustering
Markov Clustering 0.0 I=8.726026026026027 Clustering
Transitivity Clustering 1.0 T=25.696364666056265 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering