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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=147
samples=20		 Clustering
Self Organizing Maps 1.0 x=49
y=32		 Clustering
Spectral Clustering 0.998 k=34 Clustering
clusterdp 1.0 k=23
dc=3.9355925715054516		 Clustering
HDBSCAN 1.0 minPts=126
k=240		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=240		 Clustering
c-Means 1.0 k=45
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=239 Clustering
DIANA 1.0 metric=euclidean
k=240		 Clustering
DBSCAN 1.0 eps=4.919490714381814
MinPts=16		 Clustering
Hierarchical Clustering 1.0 method=complete
k=215		 Clustering
fanny 1.0 k=118
membexp=2.0		 Clustering
k-Means 1.0 k=56
nstart=10		 Clustering
DensityCut 1.0 alpha=0.5089285714285714
K=11		 Clustering
clusterONE 0.0 s=144
d=0.16666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=14.758472143145443
maxits=3500
convits=500		 Clustering
Markov Clustering 0.0 I=8.476576576576576 Clustering
Transitivity Clustering 1.0 T=14.625512934648638 Clustering
MCODE 0.991 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering