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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=85
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=225		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=17
dc=1.5664824497498762		 Clustering
HDBSCAN 0.0 minPts=202
k=202		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=76		 Clustering
c-Means 0.0 k=37
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=227 Clustering
DIANA 0.0 metric=euclidean
k=154		 Clustering
DBSCAN 0.0 eps=0.130540204145823
MinPts=67		 Clustering
Hierarchical Clustering 0.0 method=complete
k=227		 Clustering
fanny 0.0 k=23
membexp=5.0		 Clustering
k-Means 0.0 k=66
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9365234375
K=5		 Clustering
clusterONE 1.0 s=175
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.9581030621873452
maxits=2000
convits=425		 Clustering
Markov Clustering 1.0 I=6.712612612612612 Clustering
Transitivity Clustering 0.0 T=2.818570774199602 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering