Principal components analysis for mixtures with varying concentrations
Principal Component Analysis (PCA) is a classical technique of dimension reduction for multivariate data. When the data are a mixture of subjects from different subpopulations one can be interested in PCA of some (or each) subpopulation separately. In this paper estimators are considered for PC dire...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
VTeX
2021
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| Accès en ligne: | https://doaj.org/article/e5c2e87d921840a693dcf03bb32adde1 |
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