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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=172
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 1.0 k=15 Clustering
clusterdp 1.0 k=24
dc=1.4352000000000003		 Clustering
HDBSCAN 1.0 minPts=23
k=17		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=140		 Clustering
c-Means 1.0 k=124
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=209 Clustering
DIANA 1.0 metric=euclidean
k=75		 Clustering
DBSCAN 1.0 eps=1.2144000000000001
MinPts=200		 Clustering
Hierarchical Clustering 1.0 method=single
k=89		 Clustering
fanny 1.0 k=96
membexp=1.1		 Clustering
k-Means 1.0 k=95
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06904761904761904
K=5		 Clustering
clusterONE 0.0 s=241
d=0.1		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.3120000000000003
maxits=2750
convits=350		 Clustering
Markov Clustering 0.5 I=9.625825825825826 Clustering
Transitivity Clustering 1.0 T=3.235747747747748 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering