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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=17
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=22
dc=0.15671892461490605		 Clustering
HDBSCAN 1.0 minPts=74
k=39		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=46		 Clustering
c-Means 1.0 k=32
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=233 Clustering
DIANA 1.0 metric=euclidean
k=26		 Clustering
DBSCAN 1.0 eps=1.5149496046107584
MinPts=183		 Clustering
Hierarchical Clustering 1.0 method=complete
k=121		 Clustering
fanny 1.0 k=35
membexp=2.0		 Clustering
k-Means 1.0 k=76
nstart=10		 Clustering
DensityCut 1.0 alpha=0.09761904761904762
K=21		 Clustering
clusterONE 0.0 s=183
d=0.26666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.7835946230745302
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=2.6768768768768765 Clustering
Transitivity Clustering 1.0 T=1.0243989767120485 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering