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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=189 Clustering
clusterdp 0.67 k=24
dc=0.9759128172193446		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=190		 Clustering
c-Means 0.0 k=100
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=182 Clustering
DIANA 0.0 metric=euclidean
k=181		 Clustering
DBSCAN 1.0 eps=0.9718982867559022
MinPts=89		 Clustering
Hierarchical Clustering 0.0 method=complete
k=175		 Clustering
fanny 0.0 k=84
membexp=1.1		 Clustering
clusterONE 1.0 s=76
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=3500
convits=275		 Clustering
Markov Clustering 1.0 I=3.30940940940941 Clustering
Transitivity Clustering 0.0 T=0.9996383305888793 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T		 Clustering