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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=58
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=19
dc=1.9581030621873452		 Clustering
HDBSCAN 0.0 minPts=49
k=188		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=204		 Clustering
c-Means 0.0 k=14
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=204 Clustering
DIANA 0.0 metric=euclidean
k=149		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=138		 Clustering
fanny 0.0 k=31
membexp=5.0		 Clustering
k-Means 0.0 k=246
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999925494194
K=5		 Clustering
clusterONE 1.0 s=241
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=5.331731731731732 Clustering
Transitivity Clustering 0.0 T=3.9162061243746904 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering