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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=181
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=14
dc=2.8718844912081063		 Clustering
HDBSCAN 0.0 minPts=2
k=49		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=7		 Clustering
c-Means 0.0 k=209
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=161 Clustering
DIANA 0.0 metric=euclidean
k=22		 Clustering
DBSCAN 0.0 eps=0.261080408291646
MinPts=42		 Clustering
Hierarchical Clustering 0.0 method=single
k=207		 Clustering
fanny 0.0 k=250
membexp=5.0		 Clustering
k-Means 0.0 k=190
nstart=10		 Clustering
DensityCut 0.0 alpha=0.85
K=5		 Clustering
clusterONE 1.0 s=9
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.9581030621873452
maxits=4250
convits=350		 Clustering
Markov Clustering 1.0 I=1.411811811811812 Clustering
Transitivity Clustering 0.0 T=3.0616186017383717 Clustering
MCODE 0.001 v=0.8
cutoff=3.589855614010133
haircut=T
fluff=F		 Clustering