Distances in Space

Andreas Tilevik
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Andreas Tilevik: University of Skövde

Chapter Chapter 8 in Multivariate Statistics and Machine Learning in R For Beginners, 2025, pp 119-126 from Springer

Abstract: Abstract This chapter focuses on various distance measures used in many multivariate statistical methods. It begins by demonstrating how to calculate Euclidean distances between data points in a multivariate space. The Mahalanobis distance is then introduced, along with how it can be used to identify outliers in multivariate data.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-01851-9_8

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DOI: 10.1007/978-3-032-01851-9_8

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