Fisher Discriminant Analysis and Factor Analysis
β Scribed by Riccia, Giacomo Della; Shapiro, Alexander
- Book ID
- 117930666
- Publisher
- IEEE
- Year
- 1983
- Tongue
- English
- Weight
- 885 KB
- Volume
- PAMI-5
- Category
- Article
- ISSN
- 0162-8828
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π SIMILAR VOLUMES
Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is maximized. Labeled data, however, often consume much time and are expensive to obt
A reformative kernel Fisher discriminant method is proposed, which is directly derived from the naive kernel Fisher discriminant analysis with superiority in classiΓΏcation e ciency. In the novel method only a part of training patterns, called "signiΓΏcant nodes", are necessary to be adopted in classi