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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 1.0 k=189 Clustering
clusterdp 0.33 k=3
dc=0.9558401649021318		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=169		 Clustering
c-Means 1.0 k=25
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=187 Clustering
DIANA 1.0 metric=euclidean
k=188		 Clustering
DBSCAN 0.0 eps=0.8875931470236079
MinPts=7		 Clustering
Hierarchical Clustering 1.0 method=complete
k=168		 Clustering
fanny 1.0 k=70
membexp=2.0		 Clustering
clusterONE 0.0 s=114
d=0.0		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=200		 Clustering
Markov Clustering 0.0 I=9.973273273273273 Clustering
Transitivity Clustering 1.0 T=0.999397217648132 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F		 Clustering