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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=222
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=66 Clustering
clusterdp 0.0 k=21
dc=5.051292463870565		 Clustering
HDBSCAN 0.0 minPts=5
k=46		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=76		 Clustering
c-Means 0.0 k=47
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=75 Clustering
DIANA 0.0 metric=euclidean
k=132		 Clustering
DBSCAN 0.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=43		 Clustering
fanny 0.0 k=26
membexp=5.0		 Clustering
k-Means 0.0 k=110
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380952380952
K=7		 Clustering
clusterONE 0.669 s=73
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=22.73081608741754
maxits=5000
convits=275		 Clustering
Markov Clustering 0.669 I=4.921921921921922 Clustering
Transitivity Clustering 0.0 T=28.36611683915302 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering