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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=4
samples=20		 Clustering
Self Organizing Maps 0.99 x=2
y=1		 Clustering
Spectral Clustering 0.932 k=4 Clustering
clusterdp 0.99 k=2
dc=0.0		 Clustering
HDBSCAN 1.0 minPts=140
k=7		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=1		 Clustering
c-Means 0.99 k=20
m=2.25		 Clustering
k-Medoids (PAM) 0.547 k=3 Clustering
DIANA 1.0 metric=euclidean
k=1		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=20		 Clustering
Hierarchical Clustering 0.99 method=average
k=3		 Clustering
fanny 1.0 k=8
membexp=1.1		 Clustering
k-Means 0.932 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.42857142857142855
K=57		 Clustering
clusterONE 1.0 s=193
d=0.3333333333333333		 Clustering
Markov Clustering 1.0 I=3.7548548548548553 Clustering
Transitivity Clustering 1.0 T=0.01822828135870473 Clustering
MCODE 1.0 v=0.3
cutoff=7.587522115560845
haircut=T
fluff=T		 Clustering