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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 0.768 metric=euclidean
k=4
samples=20		 Clustering
Self Organizing Maps 0.778 x=2
y=17		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=6
dc=0.522160816583292		 Clustering
HDBSCAN 0.917 minPts=6
k=41		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=3		 Clustering
c-Means 0.957 k=3
m=3.5		 Clustering
k-Medoids (PAM) 0.95 k=2 Clustering
DIANA 0.772 metric=euclidean
k=3		 Clustering
DBSCAN 1.0 eps=2.8718844912081063
MinPts=183		 Clustering
Hierarchical Clustering 1.0 method=average
k=2		 Clustering
fanny 0.957 k=3
membexp=1.1		 Clustering
k-Means 0.78 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.95625
K=6		 Clustering
clusterONE 0.524 s=1
d=0.1		 Clustering
Affinity Propagation 0.524 dampfact=0.7
preference=0.0
maxits=3500
convits=500		 Clustering
Markov Clustering 0.524 I=1.58998998998999 Clustering
Transitivity Clustering 0.885 T=2.6186443354177107 Clustering
MCODE 0.992 v=0.2
cutoff=1.6317525518227878
haircut=F
fluff=T		 Clustering