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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=147
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=240		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=12
dc=4.427541642943633		 Clustering
HDBSCAN 0.0 minPts=19
k=96		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=68		 Clustering
c-Means 0.0 k=240
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=105 Clustering
DIANA 0.0 metric=euclidean
k=230		 Clustering
DBSCAN 0.0 eps=4.427541642943633
MinPts=32		 Clustering
Hierarchical Clustering 0.0 method=average
k=112		 Clustering
fanny 0.0 k=118
membexp=1.1		 Clustering
k-Means 0.0 k=130
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5651785714285713
K=10		 Clustering
clusterONE 0.464 s=176
d=0.9333333333333333		 Clustering
Affinity Propagation 0.014 dampfact=0.7
preference=0.0
maxits=4250
convits=275		 Clustering
Markov Clustering 0.464 I=9.91091091091091 Clustering
Transitivity Clustering 0.0 T=14.137995836827017 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering