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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=183
y=150		 Clustering
Spectral Clustering 0.0 k=45 Clustering
clusterdp 0.0 k=17
dc=0.11040000000000001		 Clustering
HDBSCAN 0.0 minPts=6
k=7		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=122		 Clustering
c-Means 0.0 k=79
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=150 Clustering
DIANA 0.0 metric=euclidean
k=91		 Clustering
DBSCAN 0.0 eps=1.5456
MinPts=233		 Clustering
Hierarchical Clustering 0.0 method=average
k=9		 Clustering
fanny 0.0 k=51
membexp=1.1		 Clustering
k-Means 0.0 k=152
nstart=10		 Clustering
DensityCut 0.0 alpha=0.07589285714285712
K=2		 Clustering
clusterONE 1.0 s=50
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=3.3120000000000003
maxits=2000
convits=350		 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=F
fluff=F		 Clustering