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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=29
samples=20		 Clustering
Self Organizing Maps 0.0 x=28
y=38		 Clustering
Spectral Clustering 0.423 k=33 Clustering
clusterdp 0.0 k=25
dc=0.3254271831162099		 Clustering
HDBSCAN 0.0 minPts=13
k=38		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=38		 Clustering
c-Means 0.0 k=36
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=36 Clustering
DIANA 0.0 metric=euclidean
k=36		 Clustering
DBSCAN 0.0 eps=0.08135679577905247
MinPts=38		 Clustering
Hierarchical Clustering 0.0 method=single
k=35		 Clustering
fanny 0.007 k=16
membexp=1.1		 Clustering
k-Means 0.0 k=34
nstart=10		 Clustering
DensityCut 0.15 alpha=0.8571428571428571
K=2		 Clustering
clusterONE 0.057 s=4
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.6101759683428936
maxits=2750
convits=350		 Clustering
Markov Clustering 0.341 I=9.884184184184184 Clustering
Transitivity Clustering 0.0 T=0.5570375206493683 Clustering