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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=286
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=250		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=89
k=203		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=114		 Clustering
c-Means 0.0 k=149
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=173 Clustering
DIANA 0.0 metric=euclidean
k=121		 Clustering
DBSCAN 0.0 eps=0.9765301383526837
MinPts=50		 Clustering
Hierarchical Clustering 0.0 method=average
k=106		 Clustering
fanny 0.0 k=100
membexp=2.0		 Clustering
k-Means 0.0 k=289
nstart=10		 Clustering
DensityCut 0.005 alpha=0.08657879818594105
K=2		 Clustering
clusterONE 0.667 s=160
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=29.29590415058051
maxits=4250
convits=200		 Clustering
Markov Clustering 0.471 I=9.055655655655656 Clustering
Transitivity Clustering 0.0 T=28.12289497538209 Clustering