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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=250
y=233		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=5
dc=0.10447928307660402		 Clustering
HDBSCAN 0.0 minPts=5
k=12		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=131		 Clustering
c-Means 0.0 k=51
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=68		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=average
k=75		 Clustering
fanny 0.0 k=69
membexp=5.0		 Clustering
k-Means 0.0 k=240
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04761904670989939
K=11		 Clustering
clusterONE 1.0 s=191
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=4.663563563563563 Clustering
Transitivity Clustering 0.0 T=1.4934576199538594 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering