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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=196
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=50		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=23
dc=0.4179171323064161		 Clustering
HDBSCAN 0.0 minPts=8
k=6		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=9		 Clustering
c-Means 0.0 k=179
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=18		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=complete
k=224		 Clustering
fanny 0.0 k=121
membexp=1.1		 Clustering
k-Means 0.0 k=111
nstart=10		 Clustering
DensityCut 0.0 alpha=0.034545068027210885
K=14		 Clustering
clusterONE 1.0 s=150
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.5671892461490604
maxits=3500
convits=275		 Clustering
Markov Clustering 1.0 I=1.6968968968968972 Clustering
Transitivity Clustering 0.0 T=1.0965618449030965 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering