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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 0.898 k=4 Clustering
clusterdp 0.995 k=2
dc=0.9397820430483615		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=1		 Clustering
c-Means 0.643 k=2
m=1.5		 Clustering
k-Medoids (PAM) 0.54 k=5 Clustering
DIANA 1.0 metric=euclidean
k=1		 Clustering
DBSCAN 1.0 eps=0.9839418781462299
MinPts=7		 Clustering
Hierarchical Clustering 0.995 method=average
k=2		 Clustering
fanny 1.0 k=2
membexp=5.0		 Clustering
clusterONE 1.0 s=164
d=0.6666666666666666		 Clustering
Affinity Propagation 0.409 dampfact=0.99
preference=0.8795640860967228
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=7.986586586586587 Clustering
Transitivity Clustering 1.0 T=0.881613546093075 Clustering
MCODE 0.943 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F		 Clustering