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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=34
samples=20		 Clustering
Self Organizing Maps 0.0 x=38
y=38		 Clustering
Spectral Clustering 0.423 k=33 Clustering
clusterdp 0.0 k=24
dc=0.18305279050286807		 Clustering
HDBSCAN 0.0 minPts=22
k=34		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=35		 Clustering
c-Means 0.0 k=3
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=38		 Clustering
DBSCAN 0.0 eps=0.08135679577905247
MinPts=38		 Clustering
Hierarchical Clustering 0.0 method=average
k=32		 Clustering
fanny 0.007 k=16
membexp=1.1		 Clustering
k-Means 0.0 k=33
nstart=10		 Clustering
DensityCut 0.15 alpha=0.76953125
K=2		 Clustering
clusterONE 0.057 s=5
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.6101759683428936
maxits=2750
convits=200		 Clustering
Markov Clustering 0.341 I=9.991091091091091 Clustering
Transitivity Clustering 0.0 T=0.48801861732329527 Clustering