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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 0.251 metric=euclidean
k=37
samples=20		 Clustering
Self Organizing Maps 0.568 x=28
y=38		 Clustering
Spectral Clustering 0.665 k=26 Clustering
clusterdp 0.291 k=19
dc=0.0		 Clustering
HDBSCAN 0.0 minPts=30
k=38		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=38		 Clustering
c-Means 0.0 k=18
m=3.5		 Clustering
k-Medoids (PAM) 0.193 k=36 Clustering
DIANA 0.0 metric=euclidean
k=37		 Clustering
DBSCAN 0.0 eps=0.16271359155810494
MinPts=5		 Clustering
Hierarchical Clustering 0.0 method=average
k=38		 Clustering
fanny 0.414 k=3
membexp=2.0		 Clustering
k-Means 0.254 k=36
nstart=10		 Clustering
DensityCut 0.623 alpha=0.7436011904761904
K=2		 Clustering
clusterONE 0.472 s=3
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.6101759683428936
maxits=4250
convits=275		 Clustering
Markov Clustering 0.623 I=9.875275275275275 Clustering
Transitivity Clustering 0.0 T=0.6095651815877956 Clustering