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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=160
samples=20		 Clustering
Self Organizing Maps 0.0 x=33
y=8		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=16
dc=2.951694428629089		 Clustering
HDBSCAN 0.0 minPts=24
k=168		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=228		 Clustering
c-Means 0.0 k=127
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=222 Clustering
DIANA 0.0 metric=euclidean
k=203		 Clustering
DBSCAN 0.0 eps=8.855083285887266
MinPts=176		 Clustering
Hierarchical Clustering 0.0 method=average
k=218		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=222
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5401785714285714
K=12		 Clustering
clusterONE 0.464 s=224
d=0.6333333333333333		 Clustering
Affinity Propagation 0.014 dampfact=0.7
preference=0.0
maxits=2000
convits=425		 Clustering
Markov Clustering 0.464 I=1.5543543543543545 Clustering
Transitivity Clustering 0.0 T=14.137995836827017 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering