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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=204
samples=20		 Clustering
Self Organizing Maps 0.0 x=105
y=21		 Clustering
Spectral Clustering 0.0 k=46 Clustering
clusterdp 0.0 k=16
dc=14.14361889883758		 Clustering
HDBSCAN 0.0 minPts=25
k=166		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=258		 Clustering
c-Means 0.0 k=136
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=206 Clustering
DIANA 0.0 metric=euclidean
k=273		 Clustering
DBSCAN 0.0 eps=7.07180944941879
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=215		 Clustering
fanny 0.0 k=70
membexp=5.0		 Clustering
k-Means 0.0 k=303
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2777777777777778
K=7		 Clustering
clusterONE 1.0 s=301
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=8.155855855855856 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering