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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=240
y=240		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=18
dc=14.266523071707262		 Clustering
HDBSCAN 0.0 minPts=5
k=46		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=22		 Clustering
c-Means 0.0 k=107
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=222 Clustering
DIANA 0.0 metric=euclidean
k=137		 Clustering
DBSCAN 0.0 eps=7.871185143010903
MinPts=168		 Clustering
Hierarchical Clustering 0.0 method=single
k=147		 Clustering
fanny 0.0 k=117
membexp=1.1		 Clustering
k-Means 0.0 k=182
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9523809523809523
K=12		 Clustering
clusterONE 1.0 s=72
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=14.758472143145443
maxits=3500
convits=425		 Clustering
Markov Clustering 1.0 I=6.917517517517518 Clustering
Transitivity Clustering 0.0 T=14.536873462317434 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering