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bhatm

BHATM

Bhattacharryya linear feature extraction mapping

   W = BHATM(A,N)

Input
 A Dataset
 N Number of dimensions to map to (N >= 1), or fraction of cumulative  contribution to retain (0 < N < 1)

Output
 W Bhattacharryya mapping

Description

Finds a mapping of the labeled dataset A onto an N-dimensional linear  subspace such that it maximises the Bhattacharrryya distance between the  classes, assuming Gaussian distributions. Only for two-class datasets.

See also

mappings, datasets, fisherm, nlfisherm, klm, pca,

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