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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=29
samples=20		 Clustering
Self Organizing Maps 0.465 x=2
y=2		 Clustering
Spectral Clustering 0.002 k=28 Clustering
clusterdp 0.0 k=23
dc=0.0		 Clustering
HDBSCAN 0.0 minPts=22
k=27		 Clustering
AGNES 0.013 method=average
metric=euclidean
k=11		 Clustering
c-Means 0.258 k=3
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=31 Clustering
DIANA 0.016 metric=euclidean
k=20		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=35		 Clustering
Hierarchical Clustering 0.0 method=average
k=5		 Clustering
fanny 0.018 k=7
membexp=2.0		 Clustering
k-Means 0.004 k=21
nstart=10		 Clustering
DensityCut 0.127 alpha=0.4
K=2		 Clustering
clusterONE 1.0 s=2
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=1.1623623623623625 Clustering
Transitivity Clustering 0.0 T=0.35853182524252103 Clustering
MCODE 1.0 v=0.0
cutoff=0.0
haircut=T
fluff=T		 Clustering