Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification

@article{Chen2012ReconstructiveDA,
  title={Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification},
  author={Yi Chen and Zhong Jin},
  journal={Neurocomputing},
  year={2012},
  volume={87},
  pages={41-50}
}
Based on linear regression, a novel method called reconstructive discriminant analysis (RDA) is developed for feature extraction and dimensionality reduction (DR). RDA is induced from linear Regression classification (LRC). LRC assumes each class lies on a linear subspace and finds the nearest subspace for a given sample. But the original space cannot guarantee that the given sample matches its characterizes the intra-class reconstruction scatter as well as the inter-class reconstruction… CONTINUE READING

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