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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=189
samples=20		 Clustering
Self Organizing Maps 0.0 x=73
y=208		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=11
dc=4.919490714381814		 Clustering
HDBSCAN 0.0 minPts=69
k=126		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=76		 Clustering
c-Means 0.0 k=155
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=177 Clustering
DIANA 0.0 metric=euclidean
k=146		 Clustering
DBSCAN 0.0 eps=0.49194907143818145
MinPts=16		 Clustering
Hierarchical Clustering 0.0 method=average
k=107		 Clustering
fanny 0.0 k=95
membexp=1.1		 Clustering
k-Means 0.0 k=175
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6666666666666666
K=12		 Clustering
clusterONE 1.0 s=128
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=14.758472143145443
maxits=2000
convits=425		 Clustering
Markov Clustering 1.0 I=1.7325325325325327 Clustering
Transitivity Clustering 0.0 T=14.359594517655026 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering