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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=663
samples=20		 Clustering
Self Organizing Maps 1.0 x=788
y=735		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=22
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=1
k=342		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=596		 Clustering
c-Means 1.0 k=454
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=607 Clustering
DIANA 1.0 metric=euclidean
k=694		 Clustering
DBSCAN 1.0 eps=5.175394778286108
MinPts=604		 Clustering
Hierarchical Clustering 1.0 method=average
k=705		 Clustering
fanny 1.0 k=264
membexp=2.0		 Clustering
k-Means 1.0 k=275
nstart=10		 Clustering
DensityCut 1.0 alpha=0.003125
K=13		 Clustering
clusterONE 0.0 s=210
d=0.6		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=38.815460837145814
maxits=4250
convits=500		 Clustering
Markov Clustering 0.0 I=6.534434434434434 Clustering
Transitivity Clustering 1.0 T=36.095658776484946 Clustering
MCODE 1.0 v=0.8
cutoff=35.58083910071699
haircut=T
fluff=F		 Clustering