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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=137
samples=20		 Clustering
Self Organizing Maps 0.0 x=225
y=108		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=24
dc=0.8880739061511342		 Clustering
HDBSCAN 0.0 minPts=24
k=167		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=5		 Clustering
c-Means 0.0 k=5
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=0.3134378492298121
MinPts=17		 Clustering
Hierarchical Clustering 0.0 method=complete
k=129		 Clustering
fanny 0.0 k=28
membexp=5.0		 Clustering
k-Means 0.0 k=195
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380952380952
K=5		 Clustering
clusterONE 1.0 s=1
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.3917973115372651
maxits=5000
convits=350		 Clustering
Markov Clustering 1.0 I=1.598898898898899 Clustering
Transitivity Clustering 0.0 T=1.372663253634062 Clustering
MCODE 0.0 v=0.6
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering