Linear Dimensionality Reduction
This book provides an overview of some classical linear methods in Multivariate Data Analysis. This is an old domain, well established since the 1960s, and refreshed timely as a key step in statistical learning. It can be presented as part of statistical learning, or as dimensionality reduction with...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | Lecture Notes in Statistics,
228 |
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| Accesso online: | https://doi.org/10.1007/978-3-031-95785-7 |
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Sommario:
- - 1. Introduction
- 2. Principal Component Analysis (PCA)
- 3. Complements on PCA
- 4. PCA with Metrics on Rows and Columns
- 5. Correspondence Analysis
- 6. PCA with Instrumental Variables
- 7. Canonical Correlation Analysis
- 8. Multiple Canonical Correlation Analysis
- 9. Multidimensional Scaling.