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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=88
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=11
dc=3.44364350006727		 Clustering
HDBSCAN 0.0 minPts=8
k=56		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=59		 Clustering
c-Means 0.0 k=189
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=177 Clustering
DIANA 0.0 metric=euclidean
k=150		 Clustering
DBSCAN 0.0 eps=4.919490714381814
MinPts=16		 Clustering
Hierarchical Clustering 0.0 method=average
k=94		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=231
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5714285714285714
K=9		 Clustering
clusterONE 0.464 s=192
d=0.5333333333333333		 Clustering
Affinity Propagation 0.014 dampfact=0.9175
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering 0.464 I=6.81951951951952 Clustering
Transitivity Clustering 0.0 T=13.812984438279267 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering