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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 1.0 metric=euclidean
k=61
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=225		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=19
dc=2.6108040829164603		 Clustering
HDBSCAN 1.0 minPts=72
k=202		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=180		 Clustering
c-Means 1.0 k=224
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=111 Clustering
DIANA 1.0 metric=euclidean
k=59		 Clustering
DBSCAN 1.0 eps=2.741344287062283
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=single
k=194		 Clustering
fanny 1.0 k=108
membexp=5.0		 Clustering
k-Means 1.0 k=101
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9296875
K=5		 Clustering
clusterONE 0.0 s=250
d=0.26666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1.9581030621873452
maxits=3500
convits=200		 Clustering
Markov Clustering 0.0 I=3.229229229229229 Clustering
Transitivity Clustering 1.0 T=2.740168249187096 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering