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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=59
samples=20		 Clustering
Self Organizing Maps 0.0 x=51
y=59		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=5
dc=1.5149496046107584		 Clustering
HDBSCAN 0.0 minPts=202
k=226		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=140		 Clustering
c-Means 0.0 k=11
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=53		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=31		 Clustering
fanny 0.0 k=89
membexp=5.0		 Clustering
k-Means 0.0 k=232
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06287202380952381
K=13		 Clustering
clusterONE 1.0 s=208
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.1753919346117954
maxits=2750
convits=425		 Clustering
Markov Clustering 1.0 I=8.565665665665666 Clustering
Transitivity Clustering 0.0 T=1.3758007696423682 Clustering
MCODE 0.0 v=0.2
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering