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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=190
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=220		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=120
k=300		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=278		 Clustering
c-Means 0.0 k=67
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=298 Clustering
DIANA 0.0 metric=euclidean
k=259		 Clustering
DBSCAN 0.0 eps=5.8591808301161015
MinPts=270		 Clustering
Hierarchical Clustering 0.0 method=complete
k=166		 Clustering
fanny 0.0 k=138
membexp=2.0		 Clustering
k-Means 0.0 k=103
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1040107709750567
K=2		 Clustering
clusterONE 1.0 s=90
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=29.29590415058051
maxits=2000
convits=350		 Clustering
Markov Clustering 0.352 I=9.670370370370371 Clustering
Transitivity Clustering 0.0 T=27.62436607592276 Clustering