Canonical correlation analysis based on robust covariance matrix by using deterministic of minimum covariance determinant
Canonical correlation analysis (CCA) study the linear combinations between a two multivariate set of variable that have the maximum association among these two sets of variables. The main computation of the CCA is depend on the sample mean and covariance matrices, where they are very sensitive and h...
| Hlavní autoři: | , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Elsevier
2024-09-01
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| Edice: | Partial Differential Equations in Applied Mathematics |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2666818124002067 |