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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=184
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=249		 Clustering
Spectral Clustering 0.0 k=5 Clustering
clusterdp 0.0 k=9
dc=22.225686841030484		 Clustering
HDBSCAN 0.0 minPts=2
k=61		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=61		 Clustering
c-Means 0.0 k=283
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=104 Clustering
DIANA 0.0 metric=euclidean
k=164		 Clustering
DBSCAN 0.0 eps=22.225686841030484
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=single
k=145		 Clustering
fanny 0.0 k=96
membexp=5.0		 Clustering
k-Means 0.0 k=309
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0511532738095238
K=7		 Clustering
clusterONE 0.669 s=52
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=22.73081608741754
maxits=2000
convits=275		 Clustering
Markov Clustering 0.669 I=5.946446446446447 Clustering
Transitivity Clustering 0.0 T=28.36611683915302 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering