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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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
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VTeX
2021-11-01
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| Schriftenreihe: | Modern Stochastics: Theory and Applications |
| Schlagworte: | |
| Online-Zugang: | https://www.vmsta.org/doi/10.15559/21-VMSTA191 |
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