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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=3
y=28		 Clustering
Spectral Clustering 0.423 k=33 Clustering
clusterdp 0.0 k=25
dc=0.2033919894476312		 Clustering
HDBSCAN 0.0 minPts=6
k=25		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=38		 Clustering
c-Means 0.0 k=35
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=27 Clustering
DIANA 0.0 metric=euclidean
k=35		 Clustering
DBSCAN 0.0 eps=0.08135679577905247
MinPts=38		 Clustering
Hierarchical Clustering 0.0 method=single
k=31		 Clustering
fanny 0.007 k=18
membexp=1.1		 Clustering
k-Means 0.0 k=31
nstart=10		 Clustering
DensityCut 0.15 alpha=0.7680059523809523
K=2		 Clustering
clusterONE 0.057 s=5
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.6101759683428936
maxits=2000
convits=425		 Clustering
Markov Clustering 0.341 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=0.4941264848742752 Clustering