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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=139
samples=20		 Clustering
Self Organizing Maps 0.0 x=33
y=8		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=22
dc=13.77457400026908		 Clustering
HDBSCAN 0.0 minPts=48
k=216		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=94		 Clustering
c-Means 0.0 k=225
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=136 Clustering
DIANA 0.0 metric=euclidean
k=217		 Clustering
DBSCAN 0.0 eps=5.411439785819995
MinPts=8		 Clustering
Hierarchical Clustering 0.0 method=single
k=12		 Clustering
fanny 0.0 k=104
membexp=5.0		 Clustering
k-Means 0.0 k=218
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5214285714285715
K=10		 Clustering
clusterONE 0.464 s=104
d=0.7666666666666667		 Clustering
Affinity Propagation 0.014 dampfact=0.9175
preference=0.0
maxits=5000
convits=275		 Clustering
Markov Clustering 0.464 I=1.598898898898899 Clustering
Transitivity Clustering 0.0 T=14.137995836827017 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering