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Constrained principal component analysis and related techniques
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? W...
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| Lenguaje: | eng |
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Taylor and Francis
2013
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| Acceso en línea: | http://cds.cern.ch/record/1633706 |