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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=121
samples=20		 Clustering
Self Organizing Maps 1.0 x=10
y=208		 Clustering
Spectral Clustering 1.0 k=12 Clustering
clusterdp 1.0 k=18
dc=1.9872000000000003		 Clustering
HDBSCAN 1.0 minPts=36
k=238		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=101		 Clustering
c-Means 1.0 k=184
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=184 Clustering
DIANA 1.0 metric=euclidean
k=95		 Clustering
DBSCAN 1.0 eps=3.2016
MinPts=200		 Clustering
Hierarchical Clustering 1.0 method=complete
k=93		 Clustering
fanny 1.0 k=56
membexp=5.0		 Clustering
k-Means 1.0 k=116
nstart=10		 Clustering
DensityCut 1.0 alpha=0.0
K=3		 Clustering
clusterONE 0.0 s=233
d=0.6666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=3.3120000000000003
maxits=4250
convits=275		 Clustering
Markov Clustering 0.5 I=9.76836836836837 Clustering
Transitivity Clustering 1.0 T=3.089873873873874 Clustering
MCODE 0.999 v=0.7
cutoff=3.036
haircut=T
fluff=T		 Clustering