Supervised dimensionality reduction technology of generalized discriminant component analysis and its kernelization forms
Pattern Recognition(2022)
摘要
•Supervised subspace projection is a major method conducive to pattern recognition.•Generalized discriminant component analysis is aimed at dimensionality reduction.•Kernelization forms are proposed for nonlinear subspace projection.•Multi-dimensional Fisher discriminant analysis are improved.•The theoretical validity and technical advantages are comprehensively verified.
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关键词
Dimensionality reduction,Subspace projection,Generalized discriminant component analysis,Pattern recognition
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