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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=24
dc=3.2635051036455756		 Clustering
HDBSCAN 0.0 minPts=22
k=123		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=168		 Clustering
c-Means 0.0 k=38
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=99 Clustering
DIANA 0.0 metric=euclidean
k=176		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=124		 Clustering
fanny 0.0 k=73
membexp=2.0		 Clustering
k-Means 0.0 k=97
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999997671694
K=5		 Clustering
clusterONE 0.643 s=250
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9790515310936726
maxits=2000
convits=350		 Clustering
Markov Clustering 0.643 I=7.87077077077077 Clustering
Transitivity Clustering 0.0 T=3.1517815055027536 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=F		 Clustering