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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=130
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=191		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=15
dc=0.8832000000000001		 Clustering
HDBSCAN 0.0 minPts=9
k=17		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=171		 Clustering
c-Means 0.0 k=43
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=123 Clustering
DIANA 0.0 metric=euclidean
k=124		 Clustering
DBSCAN 0.0 eps=2.208
MinPts=183		 Clustering
Hierarchical Clustering 0.0 method=single
k=74		 Clustering
fanny 0.0 k=56
membexp=5.0		 Clustering
k-Means 0.0 k=126
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03690011160714284
K=5		 Clustering
clusterONE 1.0 s=250
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=3.3120000000000003
maxits=2750
convits=275		 Clustering
Markov Clustering 0.5 I=9.527827827827828 Clustering
Transitivity Clustering 0.0 T=2.940684684684685 Clustering
MCODE 0.001 v=0.8
cutoff=3.036
haircut=F
fluff=T		 Clustering