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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=302
samples=20		 Clustering
Self Organizing Maps 0.0 x=239
y=280		 Clustering
Spectral Clustering 0.0 k=86 Clustering
clusterdp 0.0 k=18
dc=20.20516985548226		 Clustering
HDBSCAN 0.0 minPts=9
k=72		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=262		 Clustering
c-Means 0.0 k=37
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=245 Clustering
DIANA 0.0 metric=euclidean
k=222		 Clustering
DBSCAN 0.0 eps=22.225686841030484
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=average
k=95		 Clustering
fanny 0.0 k=71
membexp=2.0		 Clustering
k-Means 0.0 k=200
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04278273809523809
K=10		 Clustering
clusterONE 1.0 s=42
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=4.565565565565565 Clustering
Transitivity Clustering 0.0 T=27.971721631763728 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering