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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
Spectral Clustering 0.0 k=190 Clustering
clusterdp 0.67 k=5
dc=0.9718982867559022		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=173		 Clustering
c-Means 0.0 k=155
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=186 Clustering
DIANA 0.0 metric=euclidean
k=187		 Clustering
DBSCAN 1.0 eps=0.9518256344386893
MinPts=127		 Clustering
Hierarchical Clustering 0.0 method=single
k=184		 Clustering
fanny 0.0 k=77
membexp=2.0		 Clustering
clusterONE 1.0 s=177
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=3500
convits=275		 Clustering
Markov Clustering 1.0 I=6.195895895895896 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T		 Clustering