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Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
Abstract
The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique.
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Cited by
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Metadata
- Authors
- Fukunaga, K., & Koontz, W. L. G.
- Venue
- IEEE Transactions on Computers
- Published
- 1970-04
- Volume
- C-19
- Issue
- 4
- Pages
- 311-318
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2030328665
- Cited by
- 533
- References
- 0
- FWCI
- 14.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of the Karhunen-Loève Expansion to Feature Selection and Ordering. https://app.cochat.ai/papers/10.1109/t-c.1970.222918
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- Fukunaga, K., & Koontz, W. L. G. (1970). Application of the Karhunen-Loève Expansion to Feature Selection and Ordering. IEEE Transactions on Computers. https://doi.org/10.1109/t-c.1970.222918
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