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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=28
samples=20		 Clustering
Self Organizing Maps 0.0 x=18
y=225		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=22
dc=1.3582306799958523		 Clustering
HDBSCAN 0.0 minPts=5
k=23		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=64		 Clustering
c-Means 0.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=236		 Clustering
DBSCAN 0.0 eps=0.3134378492298121
MinPts=17		 Clustering
Hierarchical Clustering 0.0 method=complete
k=138		 Clustering
fanny 0.0 k=108
membexp=5.0		 Clustering
k-Means 0.0 k=202
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04761858213515509
K=11		 Clustering
clusterONE 1.0 s=75
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.3917973115372651
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=1.411811811811812 Clustering
Transitivity Clustering 0.0 T=1.0243989767120485 Clustering
MCODE 0.0 v=0.6
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering