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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=187
samples=20		 Clustering
Self Organizing Maps 0.0 x=630
y=263		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=13
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=184
k=551		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=250		 Clustering
c-Means 0.0 k=668
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=554 Clustering
DIANA 0.0 metric=euclidean
k=414		 Clustering
DBSCAN 0.0 eps=5.175394778286108
MinPts=604		 Clustering
Hierarchical Clustering 0.0 method=complete
k=234		 Clustering
fanny 0.0 k=200
membexp=2.0		 Clustering
k-Means 0.0 k=744
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 0.783 s=709
d=0.1		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 0.783 I=2.231431431431431 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering