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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=177
samples=20		 Clustering
Self Organizing Maps 0.0 x=49
y=32		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=12
dc=4.427541642943633		 Clustering
HDBSCAN 0.0 minPts=183
k=103		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=155		 Clustering
c-Means 0.0 k=201
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=98 Clustering
DIANA 0.0 metric=euclidean
k=198		 Clustering
DBSCAN 0.0 eps=4.919490714381814
MinPts=16		 Clustering
Hierarchical Clustering 0.0 method=complete
k=164		 Clustering
fanny 0.0 k=102
membexp=5.0		 Clustering
k-Means 0.0 k=94
nstart=10		 Clustering
DensityCut 0.0 alpha=0.8214285714285714
K=10		 Clustering
clusterONE 0.464 s=24
d=0.9666666666666667		 Clustering
Affinity Propagation 0.014 dampfact=0.99
preference=0.0
maxits=2750
convits=200		 Clustering
Markov Clustering 0.464 I=5.91081081081081 Clustering
Transitivity Clustering 0.0 T=13.724344965948065 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering