Results 1 to 10 of about 1,506,358 (188)
Linear discriminant analysis for multiple functional data analysis [PDF]
Journal of Applied Statistics, 2021 In multivariate data analysis, Fisher linear discriminant analysis is useful to optimally separate two classes of observations by finding a linear combination of p variables.
Sugnet Lubbe
exaly +3 more sources
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 +7 more sources
Nature Reviews Methods Primers, 2020 Citation: '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.
Rambod Masoud Ansari +3 more
semanticscholar +9 more sources
Linear discriminant analysis: A detailed tutorial [PDF]
AI Communications, 2017 Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a pre-processing step for machine learning and pattern classification applications. At the same time, it is usually used as a black box, but (sometimes) not well understood.
Alaa Tharwat +3 more
openaire +2 more sources
A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis
Applied Sciences, 2022 Although most cases are identified at a late stage, breast cancer is the most public malignancy amongst women globally. However, mammography for the analysis of breast cancer is not routinely available at all general hospitals.
Marion Olubunmi Adebiyi +3 more
doaj +2 more sources
Linear discriminant analysis and principal component analysis to predict coronary artery disease
Health Informatics Journal, 2020 Coronary artery disease is one of the most prevalent chronic pathologies in the modern world, leading to the deaths of thousands of people, both in the United States and in Europe.
Carlo Ricciardi +8 more
doaj +2 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
doaj +2 more sources
Sparse linear discriminant analysis for multiview structured data. [PDF]
Biometrics, 2022 Classification methods that leverage the strengths of data from multiple sources (multiview data) simultaneously have enormous potential to yield more powerful findings than two‐step methods: association followed by classification. We propose two methods,
Safo SE, Min EJ, Haine L.
europepmc +3 more sources
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
doaj +1 more source
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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