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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 1.0 metric=euclidean
k=124
samples=20		 Clustering
Self Organizing Maps 1.0 x=117
y=9		 Clustering
Spectral Clustering 1.0 k=22 Clustering
clusterdp 1.0 k=14
dc=2.0976000000000004		 Clustering
HDBSCAN 1.0 minPts=6
k=7		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=44		 Clustering
c-Means 1.0 k=157
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=242 Clustering
DIANA 1.0 metric=euclidean
k=85		 Clustering
DBSCAN 1.0 eps=1.3248
MinPts=225		 Clustering
Hierarchical Clustering 1.0 method=complete
k=126		 Clustering
fanny 1.0 k=121
membexp=5.0		 Clustering
k-Means 1.0 k=212
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03214285714285714
K=7		 Clustering
clusterONE 0.0 s=150
d=0.36666666666666664		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=3.3120000000000003
maxits=2750
convits=350		 Clustering
Markov Clustering 0.5 I=8.726026026026027 Clustering
Transitivity Clustering 1.0 T=3.013621621621622 Clustering
MCODE 0.999 v=0.7
cutoff=3.036
haircut=T
fluff=F		 Clustering