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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 0.667 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.504 x=2
y=1		 Clustering
Spectral Clustering 0.698 k=2 Clustering
clusterdp 1.0 k=5
dc=0.22080000000000002		 Clustering
HDBSCAN 1.0 minPts=6
k=2		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=2		 Clustering
c-Means 0.504 k=2
m=1.5		 Clustering
k-Medoids (PAM) 0.504 k=2 Clustering
DIANA 0.667 metric=euclidean
k=1		 Clustering
DBSCAN 1.0 eps=3.0912
MinPts=175		 Clustering
Hierarchical Clustering 1.0 method=average
k=2		 Clustering
fanny 0.667 k=2
membexp=2.0		 Clustering
k-Means 0.502 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03512137276785712
K=4		 Clustering
clusterONE 0.667 s=67
d=0.6333333333333333		 Clustering
Affinity Propagation 0.667 dampfact=0.99
preference=0.8280000000000001
maxits=2000
convits=350		 Clustering
Markov Clustering 0.667 I=5.011011011011011 Clustering
Transitivity Clustering 0.667 T=0.6730090090090091 Clustering
MCODE 0.637 v=0.3
cutoff=1.2420000000000002
haircut=F
fluff=F		 Clustering