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

• Main Authors: Hamid, Hashibah, Mahat, Nor Idayu, Ibrahim, Safwati
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2021
• Subjects: QA Mathematics
• 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
• Institution: Universiti Utara Malaysia

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...