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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=136
samples=20		 Clustering
Self Organizing Maps 0.0 x=105
y=21		 Clustering
Spectral Clustering 0.0 k=14 Clustering
clusterdp 0.0 k=18
dc=26.266720812126938		 Clustering
HDBSCAN 0.0 minPts=119
k=312		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=21		 Clustering
c-Means 0.0 k=88
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=70 Clustering
DIANA 0.0 metric=euclidean
k=205		 Clustering
DBSCAN 0.0 eps=5.051292463870565
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=303		 Clustering
fanny 0.0 k=81
membexp=1.1		 Clustering
k-Means 0.0 k=235
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06287202380952381
K=8		 Clustering
clusterONE 1.0 s=115
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=2000
convits=275		 Clustering
Markov Clustering 1.0 I=3.2114114114114116 Clustering
Transitivity Clustering 0.0 T=27.33462168136564 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering