An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data
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DOI: 10.1016/j.csda.2020.107031
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Cited by:
- Rasoul Lotfi & Davood Shahsavani & Mohammad Arashi, 2022. "Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method," Mathematics, MDPI, vol. 10(21), pages 1-13, November.
- Michael Fop & Pierre-Alexandre Mattei & Charles Bouveyron & Thomas Brendan Murphy, 2022. "Unobserved classes and extra variables in high-dimensional discriminant analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 55-92, March.
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Keywords
Classification; Linear discriminant analysis; Graphical LASSO; Precision matrix estimation; Variable selection; PET imaging; Alzheimer’s disease;All these keywords.
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