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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=239
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=8
dc=0.6791153399979262		 Clustering
HDBSCAN 0.0 minPts=12
k=226		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=20		 Clustering
c-Means 0.0 k=41
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=133 Clustering
DIANA 0.0 metric=euclidean
k=146		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=single
k=65		 Clustering
fanny 0.0 k=25
membexp=1.1		 Clustering
k-Means 0.0 k=213
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04507688492063492
K=13		 Clustering
clusterONE 0.739 s=142
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.3917973115372651
maxits=2750
convits=275		 Clustering
Markov Clustering 0.739 I=9.973273273273273 Clustering
Transitivity Clustering 0.0 T=1.4338448157960373 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering