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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=107
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=249		 Clustering
Spectral Clustering 0.0 k=46 Clustering
clusterdp 0.0 k=6
dc=17.174394377159917		 Clustering
HDBSCAN 0.0 minPts=5
k=36		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=243		 Clustering
c-Means 0.0 k=152
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=276 Clustering
DIANA 0.0 metric=euclidean
k=255		 Clustering
DBSCAN 0.0 eps=20.20516985548226
MinPts=239		 Clustering
Hierarchical Clustering 0.0 method=average
k=232		 Clustering
fanny 0.0 k=89
membexp=1.1		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952176593598865
K=6		 Clustering
clusterONE 0.669 s=83
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=425		 Clustering
Markov Clustering 0.669 I=9.42982982982983 Clustering
Transitivity Clustering 0.0 T=29.245921532559905 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering