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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=76
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=133		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=9
dc=0.5746360569213221		 Clustering
HDBSCAN 0.0 minPts=10
k=39		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=34		 Clustering
c-Means 0.0 k=212
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=15 Clustering
DIANA 0.0 metric=euclidean
k=164		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=207		 Clustering
fanny 0.0 k=44
membexp=1.1		 Clustering
k-Means 0.0 k=52
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1220238095238095
K=21		 Clustering
clusterONE 0.739 s=233
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=2750
convits=350		 Clustering
Markov Clustering 0.739 I=8.592392392392393 Clustering
Transitivity Clustering 0.0 T=1.549932908103375 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering