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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=561
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=60		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=7
k=107		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=424		 Clustering
c-Means 0.0 k=71
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=427 Clustering
DIANA 0.0 metric=euclidean
k=529		 Clustering
DBSCAN 0.0 eps=0.9295510122873538
MinPts=120		 Clustering
Hierarchical Clustering 0.0 method=complete
k=513		 Clustering
fanny 0.0 k=99
membexp=5.0		 Clustering
k-Means 0.0 k=596
nstart=10		 Clustering
DensityCut 0.0 alpha=0.3059523809523809
K=22		 Clustering
clusterONE 1.0 s=260
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=13.943265184310308
maxits=4250
convits=350		 Clustering
Markov Clustering 1.0 I=7.46986986986987 Clustering
Transitivity Clustering 0.0 T=13.915350739496873 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=F		 Clustering