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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=220
samples=20		 Clustering
Self Organizing Maps 0.0 x=117
y=9		 Clustering
Spectral Clustering 0.0 k=24 Clustering
clusterdp 0.0 k=19
dc=0.6624		 Clustering
HDBSCAN 0.0 minPts=7
k=11		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=76		 Clustering
c-Means 0.0 k=64
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=153 Clustering
DIANA 0.0 metric=euclidean
k=132		 Clustering
DBSCAN 0.0 eps=2.0976000000000004
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=single
k=198		 Clustering
fanny 0.0 k=93
membexp=1.1		 Clustering
k-Means 0.0 k=64
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03690011160714284
K=4		 Clustering
clusterONE 0.502 s=200
d=0.9333333333333333		 Clustering
Affinity Propagation 0.062 dampfact=0.99
preference=2.484
maxits=4250
convits=350		 Clustering
Markov Clustering 0.502 I=7.46986986986987 Clustering
Transitivity Clustering 0.0 T=2.960576576576577 Clustering
MCODE 0.021 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering