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? Why and when is it a good idea to combine them? Wha
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Formaat PDF ● Pagina’s 251 ● ISBN 9781466556683 ● Uitgeverij CRC Press ● Gepubliceerd 2016 ● Downloadbare 6 keer ● Valuta EUR ● ID 2829804 ● Kopieerbeveiliging Adobe DRM
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