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Principal Component Analysis (Part 1)

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Matrix-Based Introduction to Multivariate Data Analysis
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Abstract

In regression analysis (Chap. 4), variables are classified as dependent and explanatory variables . Such a distinction does not exist in principal component analysis (PCA) , which is introduced in this chapter.

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Correspondence to Kohei Adachi .

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Adachi, K. (2020). Principal Component Analysis (Part 1). In: Matrix-Based Introduction to Multivariate Data Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-15-4103-2_5

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