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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=18
samples=20		 Clustering
Self Organizing Maps 0.979 x=2
y=27		 Clustering
Spectral Clustering 1.0 k=5 Clustering
clusterdp 1.0 k=2
dc=15.526184334858325		 Clustering
HDBSCAN 1.0 minPts=38
k=1		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=1		 Clustering
c-Means 0.993 k=3
m=1.01		 Clustering
k-Medoids (PAM) 0.995 k=2 Clustering
DIANA 1.0 metric=euclidean
k=2		 Clustering
DBSCAN 1.0 eps=6.469243472857636
MinPts=342		 Clustering
Hierarchical Clustering 1.0 method=average
k=9		 Clustering
fanny 1.0 k=6
membexp=2.0		 Clustering
k-Means 0.993 k=3
nstart=10		 Clustering
DensityCut 1.0 alpha=0.05
K=78		 Clustering
clusterONE 1.0 s=342
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 1.0 I=9.821821821821821 Clustering
Transitivity Clustering 1.0 T=13.249321466933656 Clustering
MCODE 0.818 v=0.0
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering