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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=4
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=9		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=11
dc=3.785665920228867		 Clustering
HDBSCAN 1.0 minPts=6
k=46		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=28		 Clustering
c-Means 1.0 k=7
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=82 Clustering
DIANA 1.0 metric=euclidean
k=190		 Clustering
DBSCAN 1.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=single
k=197		 Clustering
fanny 1.0 k=25
membexp=1.1		 Clustering
k-Means 1.0 k=146
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9374999962747097
K=5		 Clustering
clusterONE 0.0 s=34
d=0.43333333333333335		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=2.9371545932810177
maxits=3500
convits=425		 Clustering
Markov Clustering 0.0 I=4.075575575575575 Clustering
Transitivity Clustering 1.0 T=2.8342512792021033 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering