Adaptive Variable Extractions with LDA for Classification of Mixed Variables, and Applications to Medical Data

The strategy surrounding the extraction of a number of mixed variables is examined in this paper in building a model for Linear Discriminant Analysis (LDA). Two methods for extracting crucial variables from a dataset with categorical and continuous variables were employed, namely, multiple correspon...

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Bibliographic Details
Main Authors: Hamid, Hashibah, Mahat, Nor Idayu, Ibrahim, Safwati
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2021
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/28777/1/JICT%2020%2003%202021%20305-327.pdf
https://doi.org/10.32890/jict2021.20.3.2
https://repo.uum.edu.my/id/eprint/28777/
https://e-journal.uum.edu.my/index.php/jict/article/view/14381
https://doi.org/10.32890/jict2021.20.3.2
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Institution: Universiti Utara Malaysia
Language: English

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