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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=67
samples=20		 Clustering
Self Organizing Maps 0.0 x=208
y=175		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=17
dc=2.219183470478991		 Clustering
HDBSCAN 0.0 minPts=214
k=226		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=52		 Clustering
c-Means 0.0 k=177
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=54 Clustering
DIANA 0.0 metric=euclidean
k=91		 Clustering
DBSCAN 0.0 eps=0.130540204145823
MinPts=67		 Clustering
Hierarchical Clustering 0.0 method=single
k=241		 Clustering
fanny 0.0 k=25
membexp=5.0		 Clustering
k-Means 0.0 k=24
nstart=10		 Clustering
DensityCut 0.0 alpha=0.95
K=15		 Clustering
clusterONE 1.0 s=175
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=2.9371545932810177
maxits=3500
convits=500		 Clustering
Markov Clustering 1.0 I=1.411811811811812 Clustering
Transitivity Clustering 0.0 T=2.755848754189597 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering