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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 1.0 metric=euclidean
k=90
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=191		 Clustering
Spectral Clustering 1.0 k=53 Clustering
clusterdp 1.0 k=4
dc=1.9872000000000003		 Clustering
HDBSCAN 1.0 minPts=8
k=10		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=207		 Clustering
c-Means 1.0 k=92
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=204 Clustering
DIANA 1.0 metric=euclidean
k=185		 Clustering
DBSCAN 1.0 eps=2.0976000000000004
MinPts=250		 Clustering
Hierarchical Clustering 1.0 method=single
k=142		 Clustering
fanny 1.0 k=48
membexp=5.0		 Clustering
k-Means 1.0 k=206
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06904761904761904
K=5		 Clustering
clusterONE 0.0 s=241
d=0.43333333333333335		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=3.3120000000000003
maxits=5000
convits=350		 Clustering
Markov Clustering 0.5 I=9.064564564564565 Clustering
Transitivity Clustering 1.0 T=3.2755315315315316 Clustering
MCODE 0.999 v=0.6
cutoff=3.036
haircut=F
fluff=F		 Clustering