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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=180
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=250		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=25
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=60
k=290		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=168		 Clustering
c-Means 0.0 k=146
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=199 Clustering
DIANA 0.0 metric=euclidean
k=97		 Clustering
DBSCAN 0.0 eps=7.812241106821469
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=complete
k=184		 Clustering
fanny 0.0 k=100
membexp=2.0		 Clustering
k-Means 0.0 k=286
nstart=10		 Clustering
DensityCut 0.005 alpha=0.06914682539682541
K=2		 Clustering
clusterONE 0.667 s=80
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=29.29590415058051
maxits=5000
convits=500		 Clustering
Markov Clustering 0.471 I=9.011111111111111 Clustering
Transitivity Clustering 0.0 T=27.800317452202524 Clustering