Bhattacharryya linear feature extraction mapping
W = BHATM(A,N)
| A|| Dataset|
| N|| Number of dimensions to map to (N >= 1), or fraction of cumulative contribution to retain (0 < N < 1) |
| W|| Bhattacharryya mapping|
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.
mappings, datasets, fisherm, nlfisherm, klm, pca,
|This file has been automatically generated. If badly readable, use the help-command in Matlab.|