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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=36
samples=20		 Clustering
Self Organizing Maps 0.0 x=28
y=38		 Clustering
Spectral Clustering 0.488 k=26 Clustering
clusterdp 0.0 k=22
dc=0.26440958628192057		 Clustering
HDBSCAN 0.0 minPts=25
k=36		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=30		 Clustering
c-Means 0.0 k=32
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=32 Clustering
DIANA 0.0 metric=euclidean
k=38		 Clustering
DBSCAN 0.0 eps=0.2033919894476312
MinPts=8		 Clustering
Hierarchical Clustering 0.0 method=complete
k=36		 Clustering
fanny 0.065 k=16
membexp=1.1		 Clustering
k-Means 0.0 k=37
nstart=10		 Clustering
DensityCut 0.23 alpha=0.8595238095238095
K=2		 Clustering
clusterONE 0.18 s=10
d=0.7666666666666667		 Clustering
Affinity Propagation 0.057 dampfact=0.845
preference=0.45763197625717017
maxits=3500
convits=275		 Clustering
Markov Clustering 0.369 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=0.4947372716293732 Clustering