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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 0.5 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.408 x=2
y=1		 Clustering
Spectral Clustering 0.93 k=3 Clustering
clusterdp 1.0 k=2
dc=25.25646231935282		 Clustering
HDBSCAN 0.947 minPts=5
k=34		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=3		 Clustering
c-Means 0.441 k=11
m=1.01		 Clustering
k-Medoids (PAM) 0.418 k=9 Clustering
DIANA 0.5 metric=euclidean
k=4		 Clustering
DBSCAN 1.0 eps=14.14361889883758
MinPts=280		 Clustering
Hierarchical Clustering 1.0 method=complete
k=3		 Clustering
fanny 0.5 k=8
membexp=2.0		 Clustering
k-Means 0.463 k=7
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06161644345238095
K=6		 Clustering
clusterONE 0.5 s=83
d=0.7333333333333333		 Clustering
Affinity Propagation 0.5 dampfact=0.7725
preference=7.576938695805847
maxits=4250
convits=200		 Clustering
Markov Clustering 0.5 I=9.875275275275275 Clustering
Transitivity Clustering 0.5 T=11.164418178404611 Clustering
MCODE 0.484 v=0.3
cutoff=17.679523623546974
haircut=F
fluff=T		 Clustering