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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=188
samples=20		 Clustering
Self Organizing Maps 0.0 x=157
y=156		 Clustering
Spectral Clustering 0.0 k=86 Clustering
clusterdp 0.0 k=15
dc=28.28723779767516		 Clustering
HDBSCAN 0.0 minPts=85
k=218		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=148		 Clustering
c-Means 0.0 k=83
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=283 Clustering
DIANA 0.0 metric=euclidean
k=303		 Clustering
DBSCAN 0.0 eps=5.051292463870565
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=309		 Clustering
fanny 0.0 k=136
membexp=5.0		 Clustering
k-Means 0.0 k=105
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03560799319727891
K=4		 Clustering
clusterONE 1.0 s=115
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=3.14014014014014 Clustering
Transitivity Clustering 0.0 T=27.971721631763728 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering