Matrix Algebra

Andreas Tilevik
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Andreas Tilevik: University of Skövde

Chapter Chapter 2 in Multivariate Statistics and Machine Learning in R For Beginners, 2025, pp 5-26 from Springer

Abstract: Abstract This chapter introduces basic matrix operations and how to compute eigenvectors. In multivariate statistics, data is often represented as matrices, with rows and columns corresponding to observations and variables, respectively. Matrix operations are used in many multivariate statistical and machine learning methods. In addition, understanding how eigenvectors and eigenvalues are computed is important for fully understanding how PCA works—one of the most fundamental methods in multivariate statistics and machine learning. This chapter therefore provides the essential foundations you need before we begin exploring multivariate methods.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-01851-9_2

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DOI: 10.1007/978-3-032-01851-9_2

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