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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=178
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=21
dc=3.6551257160830444		 Clustering
HDBSCAN 0.0 minPts=10
k=155		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=3		 Clustering
c-Means 0.0 k=184
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=148 Clustering
DIANA 0.0 metric=euclidean
k=71		 Clustering
DBSCAN 0.0 eps=1.6970226538956992
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=111		 Clustering
fanny 0.0 k=84
membexp=5.0		 Clustering
k-Means 0.0 k=58
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9441964285714286
K=2		 Clustering
clusterONE 0.643 s=241
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.9790515310936726
maxits=3500
convits=350		 Clustering
Markov Clustering 0.643 I=7.55005005005005 Clustering
Transitivity Clustering 0.0 T=2.697046860430217 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=T		 Clustering