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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=71
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=9
dc=7.379236071572722		 Clustering
HDBSCAN 0.0 minPts=2
k=51		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=164		 Clustering
c-Means 0.0 k=69
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=166 Clustering
DIANA 0.0 metric=euclidean
k=214		 Clustering
DBSCAN 0.0 eps=5.903388857258178
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=137		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=76
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5625
K=9		 Clustering
clusterONE 0.464 s=96
d=0.9		 Clustering
Affinity Propagation 0.014 dampfact=0.99
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 0.464 I=1.598898898898899 Clustering
Transitivity Clustering 0.0 T=14.285728290712356 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering