Principal component and minor component extractions provide powerful techniques in many information-processing fields. However, by conventional algorithms minor component extraction is much more difficult than principal component extraction. A unified algorithm which can be used to extract both prin
Comments on: A unified algorithm for principal and minor components extraction
β Scribed by Fa-Long Luo; Rolf Unbehauen
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 21 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
β¦ Synopsis
This letter points out that the unified algorithm given by Chen et al. (Chen, T., Amari, S., & Lin, Q. (1998). Neural Networks, 11, 385-390) is a direct generalization of our invariant-norm algorithm. However, this direct-generalized unified algorithm is not practical from the learning point of view as the involved computations are intensive. As a matter of fact, a more effective generalization is made available.
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