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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=239
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=19
dc=6.395337928696359		 Clustering
HDBSCAN 0.0 minPts=16
k=224		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=51		 Clustering
c-Means 0.0 k=119
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=84 Clustering
DIANA 0.0 metric=euclidean
k=233		 Clustering
DBSCAN 0.0 eps=6.395337928696359
MinPts=208		 Clustering
Hierarchical Clustering 0.0 method=complete
k=93		 Clustering
fanny 0.0 k=90
membexp=2.0		 Clustering
k-Means 0.0 k=138
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5901785714285713
K=10		 Clustering
clusterONE 1.0 s=144
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=14.758472143145443
maxits=2750
convits=500		 Clustering
Markov Clustering 1.0 I=3.451951951951952 Clustering
Transitivity Clustering 0.0 T=13.812984438279267 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering