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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=33
samples=20		 Clustering
Self Organizing Maps 0.0 x=28
y=38		 Clustering
Spectral Clustering 0.423 k=33 Clustering
clusterdp 0.0 k=3
dc=0.2847487852266836		 Clustering
HDBSCAN 0.0 minPts=11
k=30		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=25		 Clustering
c-Means 0.0 k=33
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=37 Clustering
DIANA 0.0 metric=euclidean
k=28		 Clustering
DBSCAN 0.0 eps=0.040678397889526235
MinPts=29		 Clustering
Hierarchical Clustering 0.0 method=complete
k=35		 Clustering
fanny 0.007 k=18
membexp=1.1		 Clustering
k-Means 0.0 k=33
nstart=10		 Clustering
DensityCut 0.15 alpha=0.7657180059523809
K=2		 Clustering
clusterONE 0.057 s=2
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.6101759683428936
maxits=5000
convits=200		 Clustering
Markov Clustering 0.341 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=0.5942955127103458 Clustering