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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=158
samples=20		 Clustering
Self Organizing Maps 0.0 x=167
y=1		 Clustering
Spectral Clustering 0.0 k=38 Clustering
clusterdp 0.0 k=5
dc=3.0912		 Clustering
HDBSCAN 0.0 minPts=7
k=28		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=101		 Clustering
c-Means 0.0 k=234
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=122 Clustering
DIANA 0.0 metric=euclidean
k=219		 Clustering
DBSCAN 0.0 eps=2.5392
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=complete
k=232		 Clustering
fanny 0.0 k=92
membexp=2.0		 Clustering
k-Means 0.0 k=228
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1607142857142857
K=7		 Clustering
clusterONE 0.502 s=25
d=0.1		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=7.7994994994995 Clustering
Transitivity Clustering 0.0 T=2.983783783783784 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering