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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=179
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=17
dc=7.871185143010903		 Clustering
HDBSCAN 0.0 minPts=2
k=51		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=158		 Clustering
c-Means 0.0 k=146
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=182 Clustering
DIANA 0.0 metric=euclidean
k=129		 Clustering
DBSCAN 0.0 eps=8.363134214449085
MinPts=184		 Clustering
Hierarchical Clustering 0.0 method=complete
k=42		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=145
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5547619047619048
K=10		 Clustering
clusterONE 0.464 s=152
d=0.23333333333333334		 Clustering
Affinity Propagation 0.014 dampfact=0.99
preference=0.0
maxits=3500
convits=350		 Clustering
Markov Clustering 0.464 I=6.088988988988989 Clustering
Transitivity Clustering 0.0 T=13.812984438279267 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering