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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=296
samples=20		 Clustering
Self Organizing Maps 0.0 x=31
y=240		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=21
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=3
k=34		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=285		 Clustering
c-Means 0.0 k=149
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=149 Clustering
DIANA 0.0 metric=euclidean
k=186		 Clustering
DBSCAN 0.0 eps=13.671421936937572
MinPts=230		 Clustering
Hierarchical Clustering 0.0 method=complete
k=293		 Clustering
fanny 0.0 k=99
membexp=5.0		 Clustering
k-Means 0.0 k=229
nstart=10		 Clustering
DensityCut 0.005 alpha=0.06914682539682541
K=2		 Clustering
clusterONE 0.667 s=50
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=29.29590415058051
maxits=4250
convits=500		 Clustering
Markov Clustering 0.471 I=9.135835835835836 Clustering
Transitivity Clustering 0.0 T=28.32817158104181 Clustering