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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 0.582 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.59 x=2
y=1		 Clustering
Spectral Clustering 0.659 k=4 Clustering
clusterdp 1.0 k=24
dc=1.4758472143145445		 Clustering
HDBSCAN 0.918 minPts=2
k=12		 Clustering
AGNES 0.918 method=weighted
metric=euclidean
k=10		 Clustering
c-Means 0.611 k=2
m=1.5		 Clustering
k-Medoids (PAM) 0.603 k=2 Clustering
DIANA 0.61 metric=euclidean
k=2		 Clustering
DBSCAN 0.959 eps=12.790675857392719
MinPts=184		 Clustering
Hierarchical Clustering 0.918 method=single
k=12		 Clustering
fanny 0.634 k=3
membexp=2.0		 Clustering
k-Means 0.582 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.6464285714285714
K=12		 Clustering
clusterONE 0.536 s=120
d=0.6		 Clustering
Affinity Propagation 0.536 dampfact=0.99
preference=3.689618035786361
maxits=2000
convits=500		 Clustering
Markov Clustering 0.536 I=1.1356356356356356 Clustering
Transitivity Clustering 0.593 T=8.228697681413424 Clustering
MCODE 0.342 v=0.0
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering