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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=168
samples=20		 Clustering
Self Organizing Maps 0.0 x=105
y=21		 Clustering
Spectral Clustering 0.0 k=50 Clustering
clusterdp 0.0 k=10
dc=16.164135884385807		 Clustering
HDBSCAN 0.0 minPts=45
k=312		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=80		 Clustering
c-Means 0.0 k=290
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=246 Clustering
DIANA 0.0 metric=euclidean
k=247		 Clustering
DBSCAN 0.0 eps=15.153877391611694
MinPts=291		 Clustering
Hierarchical Clustering 0.0 method=complete
k=116		 Clustering
fanny 0.0 k=119
membexp=1.1		 Clustering
k-Means 0.0 k=98
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08035714285714286
K=9		 Clustering
clusterONE 1.0 s=115
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=7.995495495495495 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering