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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 0.501 k=3 Clustering
clusterdp 0.987 k=1014
dc=2.9112181333333336		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=13		 Clustering
c-Means 0.982 k=81
m=2.25		 Clustering
k-Medoids (PAM) 0.78 k=93 Clustering
DIANA 1.0 metric=euclidean
k=24		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=350		 Clustering
Hierarchical Clustering 0.998 method=single
k=2		 Clustering
fanny 1.0 k=77
membexp=5.0		 Clustering
clusterONE 1.0 s=803
d=1.0		 Clustering
Affinity Propagation 0.668 dampfact=0.845
preference=0.0
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=1.1356356356356356 Clustering
Transitivity Clustering 1.0 T=0.17484793593593595 Clustering
MCODE 1.0 v=0.1
cutoff=40.02924933333333
haircut=F
fluff=T		 Clustering