Paper
21 September 1994 Global optimal discriminant vectors under the global Fisher discriminant criterion
Yong-Ge Wu, Ke Liu, Lei-Jian Liu, Jingyu Yang
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Abstract
The Fisher linear discriminant vector has been used as the optimal linear method in solving pattern classification problems. This paper proposes an iterative algorithm to calculate a global optimal set of discriminant vectors under the global Fisher discriminant criterion. The main advantage of our algorithm is that the scatter matrices in the subspace spanned by all discriminant vectors in the proposed optimal set have the global minimum within-class scatter and global maximum between-class scatter as compared to the Foley-Sammon local optimal set.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong-Ge Wu, Ke Liu, Lei-Jian Liu, and Jingyu Yang "Global optimal discriminant vectors under the global Fisher discriminant criterion", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186591
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KEYWORDS
Matrices

Seaborgium

Antimony

Image classification

Iterative methods

Distributed interactive simulations

Carbon dioxide

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