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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=263
samples=20		 Clustering
Self Organizing Maps 0.0 x=293
y=213		 Clustering
Spectral Clustering 0.001 k=24 Clustering
clusterdp 0.009 k=3
dc=4.904211342192431		 Clustering
HDBSCAN 0.0 minPts=1
k=72		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=219		 Clustering
c-Means 0.0 k=338
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=234 Clustering
DIANA 0.0 metric=euclidean
k=288		 Clustering
DBSCAN 0.0 eps=6.130264177740539
MinPts=332		 Clustering
Hierarchical Clustering 0.0 method=average
k=71		 Clustering
fanny 0.0 k=174
membexp=5.0		 Clustering
k-Means 0.0 k=260
nstart=10		 Clustering
DensityCut 0.065 alpha=0.1427862811791383
K=3		 Clustering
clusterONE 1.0 s=345
d=0.9		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=36.781585066443235
maxits=2750
convits=500		 Clustering
Markov Clustering 1.0 I=1.4207207207207209 Clustering
Transitivity Clustering 0.0 T=35.934761786635235 Clustering
MCODE 0.004 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=T		 Clustering