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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=50
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=280		 Clustering
Spectral Clustering 0.0 k=51 Clustering
clusterdp 0.0 k=12
dc=3.030775478322339		 Clustering
HDBSCAN 0.0 minPts=13
k=83		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=13		 Clustering
c-Means 0.0 k=120
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=138 Clustering
DIANA 0.0 metric=euclidean
k=171		 Clustering
DBSCAN 0.0 eps=7.07180944941879
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=235		 Clustering
fanny 0.0 k=61
membexp=2.0		 Clustering
k-Means 0.0 k=57
nstart=10		 Clustering
DensityCut 0.0 alpha=0.12053571428571427
K=3		 Clustering
clusterONE 1.0 s=280
d=0.7666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=9.74164164164164 Clustering
Transitivity Clustering 0.0 T=29.852683390081896 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering