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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=219
samples=20		 Clustering
Self Organizing Maps 0.0 x=73
y=208		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=6
dc=2.459745357190907		 Clustering
HDBSCAN 0.0 minPts=19
k=104		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=34		 Clustering
c-Means 0.0 k=230
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=141 Clustering
DIANA 0.0 metric=euclidean
k=167		 Clustering
DBSCAN 0.0 eps=5.903388857258178
MinPts=240		 Clustering
Hierarchical Clustering 0.0 method=average
k=181		 Clustering
fanny 0.0 k=108
membexp=5.0		 Clustering
k-Means 0.0 k=107
nstart=10		 Clustering
DensityCut 0.0 alpha=0.7214285714285714
K=10		 Clustering
clusterONE 0.464 s=160
d=0.7		 Clustering
Affinity Propagation 0.014 dampfact=0.845
preference=0.0
maxits=2750
convits=350		 Clustering
Markov Clustering 0.464 I=1.6434434434434437 Clustering
Transitivity Clustering 0.0 T=14.22663530915822 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering