Results 1 to 10 of about 278,527 (254)
Matrix Linear Discriminant Analysis. [PDF]
Technometrics, 2020 We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional linear discriminant analysis and the ordinary least squares, we consider an efficient nuclear norm penalized regression that encourages a low ...
Hu W, Shen W, Zhou H, Kong D.
europepmc +5 more sources
Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis [PDF]
Journal of ImagingIn the field of video image processing, high definition is one of the main directions for future development. Faced with the curse of dimensionality caused by the increasingly large amount of ultra-high-definition video data, effective dimensionality ...
Yuhao Zhang +3 more
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Classification of Heart Disease Using Linear Discriminant Analysis Algorithm [PDF]
E3S Web of Conferences, 2023 Ischaemic coronary heart disease is the number one cause of death globally. Detecting this disease can only be done by consulting directly with a cardiologist at a cost that is certainly not small.
Isnanto R. Rizal +2 more
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, 2020 Please download the sample Excel files from https://github.com/hhohho/Learn-Data-Mining-through-Excel for this chapter’s exercises.
Candace Moore, Daniel Bell
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IEEE Access, 2023 Recently, an absolute value inequalities discriminant analysis criterion with robustness and sparseness for supervised dimensionality reduction was studied.
Chun-Na Li +4 more
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Nature Reviews Methods PrimersCitation: 'linear discriminant analysis' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10133 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
R. Dennis Cook, Liliana Forzani
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Efficient Regression-Based Linear Discriminant Analysis for Side-Channel Security Evaluations
Transactions on Cryptographic Hardware and Embedded Systems, 2023 32-bit software implementations become increasingly popular for embedded security applications. As a result, profiling 32-bit target intermediate values becomes increasingly needed to evaluate their side-channel security.
Gaëtan Cassiers +3 more
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Linear discriminant analysis of interclass correlated spatio-temporal data
Lietuvos Matematikos Rinkinys, 2003 There is not abstract.
Jūratė Šaltytė-Benth +1 more
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MINERAL WATERS CLASSIFICATION USING FUZZY LINEAR DISCRIMINANT ANALYSIS
Studia Universitatis Babes-Bolyai Chemia, 2020 Fuzzy linear discriminant analysis is efficiently applied for the characterization and classification of some Romanian and German mineral waters according to their mineral composition. The samples were successfully classified according to the degrees of
Alexandrina GUIDEA +3 more
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Z-score linear discriminant analysis for EEG based brain-computer interfaces. [PDF]
PLoS ONE, 2013 Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption ...
Rui Zhang +5 more
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