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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=283
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=208		 Clustering
Spectral Clustering 0.0 k=13 Clustering
clusterdp 0.0 k=15
dc=28.28723779767516		 Clustering
HDBSCAN 0.0 minPts=25
k=146		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=308		 Clustering
c-Means 0.0 k=95
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=223 Clustering
DIANA 0.0 metric=euclidean
k=59		 Clustering
DBSCAN 0.0 eps=26.266720812126938
MinPts=270		 Clustering
Hierarchical Clustering 0.0 method=complete
k=262		 Clustering
fanny 0.0 k=93
membexp=5.0		 Clustering
k-Means 0.0 k=98
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380927434812
K=6		 Clustering
clusterONE 1.0 s=52
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=4.396296296296296 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering