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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=149
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=9		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=21
dc=1.5664824497498762		 Clustering
HDBSCAN 0.0 minPts=6
k=47		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=240		 Clustering
c-Means 0.0 k=58
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=174 Clustering
DIANA 0.0 metric=euclidean
k=119		 Clustering
DBSCAN 0.0 eps=2.088643266333168
MinPts=216		 Clustering
Hierarchical Clustering 0.0 method=complete
k=186		 Clustering
fanny 0.0 k=82
membexp=1.1		 Clustering
k-Means 0.0 k=240
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 1.0 s=158
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=2.9371545932810177
maxits=3500
convits=200		 Clustering
Markov Clustering 1.0 I=6.374074074074075 Clustering
Transitivity Clustering 0.0 T=2.8969732992121084 Clustering
MCODE 0.001 v=0.8
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering