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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=49
samples=20		 Clustering
Self Organizing Maps 0.979 x=2
y=27		 Clustering
Spectral Clustering 1.0 k=4 Clustering
clusterdp 1.0 k=4
dc=38.815460837145814		 Clustering
HDBSCAN 1.0 minPts=53
k=1		 Clustering
AGNES 1.0 method=weighted
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=7.763092167429162
MinPts=1		 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=0.0
K=125		 Clustering
clusterONE 1.0 s=499
d=0.2		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 1.0 I=4.333933933933935 Clustering
Transitivity Clustering 1.0 T=15.075474279091667 Clustering
MCODE 0.818 v=0.0
cutoff=35.58083910071699
haircut=T
fluff=F		 Clustering