Dimensionality Reduction problem: a Comprehensive Exploration of Disjoint Principal Component Analysis (DPCA) and Disjoint Multiple Correspondence Analysis (DMCA)
This paper delves into the realm of advanced data analysis, focusing on two powerful dimensionality reduction methods: Disjoint Principal Component Analysis (DPCA) and Disjoint Multiple Correspondence Analysis (DMCA). Methodological marvels in their own right, these approaches are scrutinized for th...
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| Format: | Article |
| Language: | English |
| Published: |
Milano University Press
2024-04-01
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| Series: | Epidemiology, Biostatistics and Public Health |
| Subjects: | |
| Online Access: | https://riviste.unimi.it/index.php/ebph/article/view/22513 |
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