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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=8
samples=20		 Clustering
Self Organizing Maps 0.0 x=51
y=59		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=7
dc=0.2611982076915101		 Clustering
HDBSCAN 0.0 minPts=25
k=64		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=210		 Clustering
c-Means 0.0 k=234
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=110 Clustering
DIANA 0.0 metric=euclidean
k=17		 Clustering
DBSCAN 0.0 eps=1.0447928307660403
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=average
k=127		 Clustering
fanny 0.0 k=33
membexp=1.1		 Clustering
k-Means 0.0 k=192
nstart=10		 Clustering
DensityCut 0.0 alpha=0.23809523809523808
K=10		 Clustering
clusterONE 1.0 s=75
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.5671892461490604
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=2.7837837837837838 Clustering
Transitivity Clustering 0.0 T=1.1530371330526121 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering