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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=35
y=59		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=23
dc=1.8275628580415222		 Clustering
HDBSCAN 0.0 minPts=6
k=46		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=143		 Clustering
c-Means 0.0 k=31
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=102 Clustering
DIANA 0.0 metric=euclidean
k=35		 Clustering
DBSCAN 0.0 eps=1.9581030621873452
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=70		 Clustering
fanny 0.0 k=49
membexp=5.0		 Clustering
k-Means 0.0 k=112
nstart=10		 Clustering
DensityCut 0.0 alpha=1.0
K=6		 Clustering
clusterONE 0.643 s=225
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.9581030621873452
maxits=5000
convits=200		 Clustering
Markov Clustering 0.643 I=5.554454454454454 Clustering
Transitivity Clustering 0.0 T=2.7597688804402223 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering