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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=64
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=133		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=9
dc=0.3134378492298121		 Clustering
HDBSCAN 0.0 minPts=238
k=226		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=22		 Clustering
c-Means 0.0 k=204
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=75		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=72		 Clustering
fanny 0.0 k=116
membexp=1.1		 Clustering
k-Means 0.0 k=209
nstart=10		 Clustering
DensityCut 0.0 alpha=0.017113095238095236
K=14		 Clustering
clusterONE 1.0 s=92
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.7835946230745302
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=4.93083083083083 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=T
fluff=F		 Clustering