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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=120
samples=20		 Clustering
Self Organizing Maps 1.0 x=167
y=1		 Clustering
Spectral Clustering 1.0 k=7 Clustering
clusterdp 1.0 k=23
dc=1.7664000000000002		 Clustering
HDBSCAN 1.0 minPts=1
k=38		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=234		 Clustering
c-Means 1.0 k=174
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=52 Clustering
DIANA 1.0 metric=euclidean
k=90		 Clustering
DBSCAN 1.0 eps=3.0912
MinPts=175		 Clustering
Hierarchical Clustering 1.0 method=average
k=118		 Clustering
fanny 1.0 k=94
membexp=5.0		 Clustering
k-Means 1.0 k=118
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03191964285714284
K=7		 Clustering
clusterONE 0.0 s=225
d=0.26666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=3.3120000000000003
maxits=2000
convits=350		 Clustering
Markov Clustering 0.5 I=9.74164164164164 Clustering
Transitivity Clustering 1.0 T=3.2224864864864866 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering