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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 1.0 metric=euclidean
k=89
samples=20		 Clustering
Self Organizing Maps 1.0 x=12
y=135		 Clustering
Spectral Clustering 1.0 k=3 Clustering
clusterdp 1.0 k=15
dc=2.020516985548226		 Clustering
HDBSCAN 1.0 minPts=11
k=89		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=84		 Clustering
c-Means 1.0 k=211
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=277 Clustering
DIANA 1.0 metric=euclidean
k=39		 Clustering
DBSCAN 1.0 eps=15.153877391611694
MinPts=291		 Clustering
Hierarchical Clustering 1.0 method=single
k=205		 Clustering
fanny 1.0 k=106
membexp=5.0		 Clustering
k-Means 1.0 k=223
nstart=10		 Clustering
DensityCut 1.0 alpha=0.013392857142857142
K=3		 Clustering
clusterONE 0.0 s=104
d=0.16666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=22.73081608741754
maxits=4250
convits=350		 Clustering
Markov Clustering 0.0 I=9.073473473473474 Clustering
Transitivity Clustering 1.0 T=26.363802709330454 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering