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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=63
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=67		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=5
dc=1.5671892461490604		 Clustering
HDBSCAN 0.0 minPts=1
k=250		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=18		 Clustering
c-Means 0.0 k=194
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=10		 Clustering
DBSCAN 0.0 eps=0.15671892461490605
MinPts=42		 Clustering
Hierarchical Clustering 0.0 method=single
k=165		 Clustering
fanny 0.0 k=85
membexp=2.0		 Clustering
k-Means 0.0 k=240
nstart=10		 Clustering
DensityCut 0.0 alpha=0.19841269841269843
K=30		 Clustering
clusterONE 1.0 s=84
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.1753919346117954
maxits=4250
convits=425		 Clustering
Markov Clustering 1.0 I=8.922022022022022 Clustering
Transitivity Clustering 0.0 T=1.0604804108075725 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering