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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=225		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=7
dc=0.4179171323064161		 Clustering
HDBSCAN 0.0 minPts=9
k=7		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=51		 Clustering
c-Means 0.0 k=64
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=115		 Clustering
DBSCAN 0.0 eps=0.9925531892277383
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=99		 Clustering
fanny 0.0 k=104
membexp=2.0		 Clustering
k-Means 0.0 k=126
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380952380952
K=25		 Clustering
clusterONE 1.0 s=183
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.1753919346117954
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=6.89079079079079 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.8
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering