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Fisher discriminant analysis (FDA), as a very important method for feature extraction, has been widely used in different applications. However, some drawbacks of the conventional FDA algorithm have limited its success and applications. In order to improve the discriminant power, a new discriminant analysis algorithm is proposed based on Fisher's linear discriminant objective by developing a nested...
In order to improve the discriminant power, a new discriminant analysis algorithm is proposed based on Fisher's linear discriminant, called variant fisher discriminant analysis with orthogonal discriminant components (VFDAODC). The basic idea of the proposed VFDAODC is to overcome the problems of the conventional fisher discriminant analysis algorithm. First, a two-step feature extraction procedure...
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