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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=175		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=16
dc=0.6268756984596242		 Clustering
HDBSCAN 0.0 minPts=64
k=30		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=25		 Clustering
c-Means 0.0 k=104
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=85 Clustering
DIANA 0.0 metric=euclidean
k=235		 Clustering
DBSCAN 0.0 eps=0.9925531892277383
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=145		 Clustering
fanny 0.0 k=107
membexp=5.0		 Clustering
k-Means 0.0 k=156
nstart=10		 Clustering
DensityCut 0.0 alpha=0.23809523809523808
K=12		 Clustering
clusterONE 0.739 s=100
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.7835946230745302
maxits=3500
convits=200		 Clustering
Markov Clustering 0.739 I=8.53003003003003 Clustering
Transitivity Clustering 0.0 T=1.3977633817005133 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering