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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 0.482 metric=euclidean
k=29
samples=20		 Clustering
Self Organizing Maps 0.405 x=2
y=1		 Clustering
Spectral Clustering 0.397 k=42 Clustering
clusterdp 0.483 k=15
dc=36008.34461886732		 Clustering
HDBSCAN 0.021 minPts=167
k=4666		 Clustering
AGNES 0.448 method=flexible
metric=euclidean
k=13		 Clustering
c-Means 0.481 k=16
m=1.01		 Clustering
k-Medoids (PAM) 0.468 k=17 Clustering
DIANA 0.429 metric=euclidean
k=7		 Clustering
DBSCAN 0.183 eps=180041.72309433663
MinPts=4833		 Clustering
Hierarchical Clustering 0.396 method=complete
k=2		 Clustering
fanny 0.467 k=17
membexp=2.0		 Clustering
k-Means 0.485 k=47
nstart=10		 Clustering
DensityCut 0.484 alpha=0.9947916666666666
K=93		 Clustering
clusterONE NaN s=100
d=0.7666666666666667		 Clustering
Affinity Propagation 0.372 dampfact=0.7725
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering NaN I=6.534434434434434 Clustering
Transitivity Clustering 0.365 T=961303.8548400315 Clustering
MCODE -0.438 v=0.7
cutoff=1035239.9077924355
haircut=F
fluff=F		 Clustering