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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=112
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=17
dc=1.5671892461490604		 Clustering
HDBSCAN 0.0 minPts=18
k=14		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=98		 Clustering
c-Means 0.0 k=42
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=118 Clustering
DIANA 0.0 metric=euclidean
k=142		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=156		 Clustering
fanny 0.0 k=101
membexp=2.0		 Clustering
k-Means 0.0 k=8
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03660714285714285
K=12		 Clustering
clusterONE 0.739 s=75
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.3917973115372651
maxits=4250
convits=500		 Clustering
Markov Clustering 0.739 I=4.414114114114115 Clustering
Transitivity Clustering 0.0 T=1.314619207480393 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering