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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=143
samples=20		 Clustering
Self Organizing Maps 0.0 x=49
y=32		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=18
dc=4.919490714381814		 Clustering
HDBSCAN 0.0 minPts=183
k=103		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=47		 Clustering
c-Means 0.0 k=240
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=173 Clustering
DIANA 0.0 metric=euclidean
k=132		 Clustering
DBSCAN 0.0 eps=4.427541642943633
MinPts=32		 Clustering
Hierarchical Clustering 0.0 method=average
k=147		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=134
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6666666666666666
K=12		 Clustering
clusterONE 0.464 s=144
d=0.5		 Clustering
Affinity Propagation 0.014 dampfact=0.845
preference=0.0
maxits=3500
convits=350		 Clustering
Markov Clustering 0.464 I=3.6835835835835837 Clustering
Transitivity Clustering 0.0 T=14.123222591438482 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering