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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=113
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=216		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=17
dc=0.11040000000000001		 Clustering
HDBSCAN 0.0 minPts=131
k=250		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=195		 Clustering
c-Means 0.0 k=242
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=243 Clustering
DIANA 0.0 metric=euclidean
k=208		 Clustering
DBSCAN 0.0 eps=2.6496
MinPts=158		 Clustering
Hierarchical Clustering 0.0 method=single
k=220		 Clustering
fanny 0.0 k=93
membexp=2.0		 Clustering
k-Means 0.0 k=145
nstart=10		 Clustering
DensityCut 0.0 alpha=0.024330357142857133
K=2		 Clustering
clusterONE 1.0 s=67
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=3.3120000000000003
maxits=5000
convits=425		 Clustering
Markov Clustering 0.5 I=8.494394394394394 Clustering
Transitivity Clustering 0.0 T=3.0202522522522526 Clustering
MCODE 0.001 v=0.9
cutoff=3.036
haircut=T
fluff=T		 Clustering