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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=265
samples=20		 Clustering
Self Organizing Maps 0.0 x=239
y=280		 Clustering
Spectral Clustering 0.0 k=6 Clustering
clusterdp 0.0 k=10
dc=14.14361889883758		 Clustering
HDBSCAN 0.0 minPts=3
k=153		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=152		 Clustering
c-Means 0.0 k=208
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=204 Clustering
DIANA 0.0 metric=euclidean
k=113		 Clustering
DBSCAN 0.0 eps=9.092326434967017
MinPts=301		 Clustering
Hierarchical Clustering 0.0 method=single
k=284		 Clustering
fanny 0.0 k=135
membexp=2.0		 Clustering
k-Means 0.0 k=163
nstart=10		 Clustering
DensityCut 0.0 alpha=0.055338541666666664
K=6		 Clustering
clusterONE 0.669 s=104
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=15.153877391611694
maxits=5000
convits=500		 Clustering
Markov Clustering 0.669 I=4.03993993993994 Clustering
Transitivity Clustering 0.0 T=30.00437385446239 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering