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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=260
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=11		 Clustering
Spectral Clustering 1.0 k=86 Clustering
clusterdp 1.0 k=12
dc=8.082067942192904		 Clustering
HDBSCAN 1.0 minPts=7
k=249		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=65		 Clustering
c-Means 1.0 k=127
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=49 Clustering
DIANA 1.0 metric=euclidean
k=312		 Clustering
DBSCAN 1.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=complete
k=234		 Clustering
fanny 1.0 k=79
membexp=1.1		 Clustering
k-Means 1.0 k=243
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06287202380952381
K=4		 Clustering
clusterONE 0.0 s=73
d=0.7		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=22.73081608741754
maxits=4250
convits=425		 Clustering
Markov Clustering 0.0 I=3.1668668668668674 Clustering
Transitivity Clustering 1.0 T=28.457131117781316 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering