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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=238
samples=20		 Clustering
Self Organizing Maps 1.0 x=385
y=239		 Clustering
Spectral Clustering 0.999 k=24 Clustering
clusterdp 0.991 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 1.0 minPts=19
k=342		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=253		 Clustering
c-Means 1.0 k=150
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=375 Clustering
DIANA 1.0 metric=euclidean
k=336		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=133		 Clustering
Hierarchical Clustering 1.0 method=single
k=245		 Clustering
fanny 1.0 k=188
membexp=1.1		 Clustering
k-Means 1.0 k=302
nstart=10		 Clustering
DensityCut 0.935 alpha=0.12152777777777776
K=3		 Clustering
clusterONE 0.0 s=306
d=0.8666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=36.781585066443235
maxits=4250
convits=350		 Clustering
Markov Clustering 0.0 I=6.587887887887889 Clustering
Transitivity Clustering 1.0 T=36.48703783868393 Clustering
MCODE 0.996 v=0.1
cutoff=32.183886933137835
haircut=F
fluff=F		 Clustering