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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=37
samples=20		 Clustering
Self Organizing Maps 0.0 x=28
y=38		 Clustering
Spectral Clustering 0.488 k=26 Clustering
clusterdp 0.0 k=3
dc=0.2847487852266836		 Clustering
HDBSCAN 0.0 minPts=15
k=25		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=31		 Clustering
c-Means 0.0 k=37
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=33		 Clustering
DBSCAN 0.0 eps=0.2033919894476312
MinPts=8		 Clustering
Hierarchical Clustering 0.0 method=average
k=33		 Clustering
fanny 0.065 k=16
membexp=1.1		 Clustering
k-Means 0.0 k=26
nstart=10		 Clustering
DensityCut 0.23 alpha=0.7802083333333332
K=2		 Clustering
clusterONE 0.18 s=8
d=0.7666666666666667		 Clustering
Affinity Propagation 0.057 dampfact=0.7
preference=0.6101759683428936
maxits=2000
convits=200		 Clustering
Markov Clustering 0.369 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=0.48740783056819725 Clustering