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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=447
y=420		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=8
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=132
k=578		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=157		 Clustering
c-Means 0.0 k=668
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=767 Clustering
DIANA 0.0 metric=euclidean
k=546		 Clustering
DBSCAN 0.0 eps=5.175394778286108
MinPts=604		 Clustering
Hierarchical Clustering 0.0 method=complete
k=778		 Clustering
fanny 0.0 k=243
membexp=2.0		 Clustering
k-Means 0.0 k=370
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.783 s=761
d=0.5666666666666667		 Clustering
Affinity Propagation 0.002 dampfact=0.9175
preference=9.703865209286453
maxits=3500
convits=425		 Clustering
Markov Clustering 0.783 I=2.65015015015015 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering