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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=386
samples=20		 Clustering
Self Organizing Maps 0.0 x=385
y=239		 Clustering
Spectral Clustering 0.001 k=24 Clustering
clusterdp 0.009 k=3
dc=4.904211342192431		 Clustering
HDBSCAN 0.0 minPts=6
k=93		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=272		 Clustering
c-Means 0.0 k=96
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=182 Clustering
DIANA 0.0 metric=euclidean
k=340		 Clustering
DBSCAN 0.0 eps=2.4521056710962155
MinPts=372		 Clustering
Hierarchical Clustering 0.0 method=average
k=391		 Clustering
fanny 0.0 k=198
membexp=1.1		 Clustering
k-Means 0.0 k=283
nstart=10		 Clustering
DensityCut 0.065 alpha=0.15341553287981857
K=3		 Clustering
clusterONE 1.0 s=385
d=0.6		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=36.781585066443235
maxits=4250
convits=350		 Clustering
Markov Clustering 1.0 I=1.1890890890890893 Clustering
Transitivity Clustering 0.0 T=35.934761786635235 Clustering
MCODE 0.004 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=F		 Clustering