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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=580
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=560		 Clustering
Spectral Clustering 0.013 k=39 Clustering
clusterdp 0.003 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=28
k=140		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=490		 Clustering
c-Means 0.0 k=503
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=441 Clustering
DIANA 0.0 metric=euclidean
k=572		 Clustering
DBSCAN 0.0 eps=0.4647755061436769
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=complete
k=547		 Clustering
fanny 0.0 k=290
membexp=1.1		 Clustering
k-Means 0.0 k=523
nstart=10		 Clustering
DensityCut 0.007 alpha=0.29761904761904756
K=24		 Clustering
clusterONE 0.935 s=260
d=0.1		 Clustering
Affinity Propagation 0.004 dampfact=0.99
preference=10.457448888232731
maxits=4250
convits=350		 Clustering
Markov Clustering 0.935 I=2.293793793793794 Clustering
Transitivity Clustering 0.0 T=13.873479072276723 Clustering
MCODE 0.017 v=0.9
cutoff=12.781326418951116
haircut=T
fluff=T		 Clustering