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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=140
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=133		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=3
dc=0.7728		 Clustering
HDBSCAN 0.0 minPts=238
k=202		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=62		 Clustering
c-Means 0.0 k=199
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=227 Clustering
DIANA 0.0 metric=euclidean
k=160		 Clustering
DBSCAN 0.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 0.0 method=complete
k=219		 Clustering
fanny 0.0 k=250
membexp=2.0		 Clustering
k-Means 0.0 k=144
nstart=10		 Clustering
DensityCut 0.0 alpha=0.024330357142857133
K=3		 Clustering
clusterONE 1.0 s=75
d=0.7		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=3.3120000000000003
maxits=2000
convits=350		 Clustering
Markov Clustering 0.5 I=9.5990990990991 Clustering
Transitivity Clustering 0.0 T=3.0202522522522526 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering