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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=92
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=216		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=18
dc=0.552		 Clustering
HDBSCAN 0.0 minPts=6
k=4		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=44		 Clustering
c-Means 0.0 k=147
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=149 Clustering
DIANA 0.0 metric=euclidean
k=174		 Clustering
DBSCAN 0.0 eps=2.7600000000000002
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=complete
k=125		 Clustering
fanny 0.0 k=93
membexp=1.1		 Clustering
k-Means 0.0 k=235
nstart=10		 Clustering
DensityCut 0.0 alpha=0.20238095238095238
K=5		 Clustering
clusterONE 1.0 s=75
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=3.3120000000000003
maxits=3500
convits=200		 Clustering
Markov Clustering 0.5 I=9.57237237237237 Clustering
Transitivity Clustering 0.0 T=3.023567567567568 Clustering
MCODE 0.001 v=0.7
cutoff=3.036
haircut=F
fluff=T		 Clustering