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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格式 PDF ● 网页 251 ● ISBN 9781466556683 ● 出版者 CRC Press ● 发布时间 2016 ● 下载 6 时 ● 货币 EUR ● ID 2829804 ● 复制保护 Adobe DRM
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