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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=254
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=220		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=21
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=57
k=271		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=88		 Clustering
c-Means 0.0 k=64
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=129 Clustering
DIANA 0.0 metric=euclidean
k=229		 Clustering
DBSCAN 0.0 eps=13.671421936937572
MinPts=230		 Clustering
Hierarchical Clustering 0.0 method=complete
k=97		 Clustering
fanny 0.0 k=115
membexp=5.0		 Clustering
k-Means 0.0 k=217
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08657879818594105
K=2		 Clustering
clusterONE 1.0 s=250
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=29.29590415058051
maxits=3500
convits=350		 Clustering
Markov Clustering 0.352 I=9.376376376376376 Clustering
Transitivity Clustering 0.0 T=27.888293140342405 Clustering