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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=37
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=16 Clustering
clusterdp 0.0 k=24
dc=20.20516985548226		 Clustering
HDBSCAN 0.0 minPts=25
k=115		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=88		 Clustering
c-Means 0.0 k=161
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=42 Clustering
DIANA 0.0 metric=euclidean
k=43		 Clustering
DBSCAN 0.0 eps=11.112843420515242
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=267		 Clustering
fanny 0.0 k=86
membexp=2.0		 Clustering
k-Means 0.0 k=242
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05951563517252604
K=6		 Clustering
clusterONE 0.669 s=270
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=15.153877391611694
maxits=5000
convits=500		 Clustering
Markov Clustering 0.669 I=6.561161161161161 Clustering
Transitivity Clustering 0.0 T=29.276259625436005 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering