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 maximizes the Bhattacharrryya distance between the  classes, assuming Gaussian distributions. Only for two-class datasets.

See also

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