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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=11
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=233		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=18
dc=1.2537513969192484		 Clustering
HDBSCAN 0.0 minPts=64
k=30		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=37		 Clustering
c-Means 0.0 k=13
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=22 Clustering
DIANA 0.0 metric=euclidean
k=138		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=189		 Clustering
fanny 0.0 k=107
membexp=5.0		 Clustering
k-Means 0.0 k=240
nstart=10		 Clustering
DensityCut 0.0 alpha=0.14285714285714285
K=24		 Clustering
clusterONE 0.739 s=142
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.3917973115372651
maxits=5000
convits=425		 Clustering
Markov Clustering 0.739 I=5.474274274274276 Clustering
Transitivity Clustering 0.0 T=1.322462997501159 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering