Linear dimensionality reduction via a heteroscedastic extension of LDA : the Chernoff criterion
We propose an eigenvector-based heteroscedastic linear dimension reduction (LDR) technique for multiclass data. The technique is based on a heteroscedastic two-class technique which utilizes the so-called Chernoff criterion, and successfully extends the well-known linear discriminant analysis (LDA)....
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 26(2004), 6 vom: 26. Juni, Seite 732-9 |
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| Format: | Article en ligne |
| Langue: | English |
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2004
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
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