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  • In the first two techniques, the important features of the data that one seeks to preserve are essentially the pairwise distances, in the third a function (e.g. labels) on the the data is given and is taken into account in the computation of thesubspace.Local Discriminant Bases (LDB) apply to a family of labeled vectors that represent smoothly varying functions, for example spectra and sounds.
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