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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=219
samples=20		 Clustering
Self Organizing Maps 0.0 x=73
y=208		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=20
dc=4.919490714381814		 Clustering
HDBSCAN 0.0 minPts=19
k=104		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=184		 Clustering
c-Means 0.0 k=240
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=228 Clustering
DIANA 0.0 metric=euclidean
k=141		 Clustering
DBSCAN 0.0 eps=7.871185143010903
MinPts=168		 Clustering
Hierarchical Clustering 0.0 method=complete
k=127		 Clustering
fanny 0.0 k=44
membexp=5.0		 Clustering
k-Means 0.0 k=140
nstart=10		 Clustering
DensityCut 0.0 alpha=0.44642857142857134
K=9		 Clustering
clusterONE 0.464 s=224
d=0.5333333333333333		 Clustering
Affinity Propagation 0.014 dampfact=0.7
preference=0.0
maxits=3500
convits=425		 Clustering
Markov Clustering 0.464 I=2.3027027027027027 Clustering
Transitivity Clustering 0.0 T=14.049356364495813 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering