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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=63
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=18
dc=0.15671892461490605		 Clustering
HDBSCAN 0.0 minPts=24
k=250		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=23		 Clustering
c-Means 0.0 k=22
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=224 Clustering
DIANA 0.0 metric=euclidean
k=63		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=78		 Clustering
fanny 0.0 k=68
membexp=2.0		 Clustering
k-Means 0.0 k=116
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04380580357142857
K=12		 Clustering
clusterONE 0.739 s=200
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.7835946230745302
maxits=4250
convits=350		 Clustering
Markov Clustering 0.739 I=3.6212212212212216 Clustering
Transitivity Clustering 0.0 T=1.4338448157960373 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering