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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=155
samples=20		 Clustering
Self Organizing Maps 1.0 x=26
y=158		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=6
dc=3.1329648994997523		 Clustering
HDBSCAN 1.0 minPts=5
k=44		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=31		 Clustering
c-Means 1.0 k=2
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=239 Clustering
DIANA 1.0 metric=euclidean
k=224		 Clustering
DBSCAN 1.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=complete
k=167		 Clustering
fanny 1.0 k=88
membexp=1.1		 Clustering
k-Means 1.0 k=160
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9875
K=6		 Clustering
clusterONE 0.0 s=241
d=0.6666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.9162061243746904
maxits=3500
convits=500		 Clustering
Markov Clustering 0.0 I=1.4830830830830832 Clustering
Transitivity Clustering 1.0 T=3.1949028942596325 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering