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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=69
samples=20		 Clustering
Self Organizing Maps 0.0 x=183
y=150		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=21
dc=0.7728		 Clustering
HDBSCAN 0.0 minPts=20
k=42		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=125		 Clustering
c-Means 0.0 k=159
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=65 Clustering
DIANA 0.0 metric=euclidean
k=96		 Clustering
DBSCAN 0.0 eps=3.2016
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=76		 Clustering
fanny 0.0 k=92
membexp=2.0		 Clustering
k-Means 0.0 k=74
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03097098214285713
K=4		 Clustering
clusterONE 0.502 s=25
d=0.7		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=1.3405405405405406 Clustering
Transitivity Clustering 0.0 T=3.20590990990991 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering