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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=78
samples=20		 Clustering
Self Organizing Maps 1.0 x=157
y=156		 Clustering
Spectral Clustering 1.0 k=84 Clustering
clusterdp 1.0 k=16
dc=28.28723779767516		 Clustering
HDBSCAN 1.0 minPts=6
k=49		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=31		 Clustering
c-Means 1.0 k=142
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=293 Clustering
DIANA 1.0 metric=euclidean
k=111		 Clustering
DBSCAN 1.0 eps=11.112843420515242
MinPts=291		 Clustering
Hierarchical Clustering 1.0 method=single
k=252		 Clustering
fanny 1.0 k=312
membexp=5.0		 Clustering
k-Means 1.0 k=275
nstart=10		 Clustering
DensityCut 1.0 alpha=0.2777777777777778
K=7		 Clustering
clusterONE 0.0 s=177
d=0.8		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=30.307754783223388
maxits=2000
convits=500		 Clustering
Markov Clustering 0.0 I=3.7548548548548553 Clustering
Transitivity Clustering 1.0 T=30.307754783223388 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering