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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=233
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=250		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=19
dc=1.3582306799958523		 Clustering
HDBSCAN 0.0 minPts=2
k=4		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=198		 Clustering
c-Means 0.0 k=17
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=24 Clustering
DIANA 0.0 metric=euclidean
k=200		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=245		 Clustering
fanny 0.0 k=88
membexp=2.0		 Clustering
k-Means 0.0 k=88
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04952566964285714
K=11		 Clustering
clusterONE 0.739 s=225
d=0.9666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.7835946230745302
maxits=4250
convits=275		 Clustering
Markov Clustering 0.739 I=2.8639639639639642 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering