Multivariate Statistics and Machine Learning in R For Beginners

Andreas Tilevik ()
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Andreas Tilevik: University of Skövde

in Springer Books from Springer

Date: 2025
ISBN: 978-3-032-01851-9
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Chapters in this book:

Ch Chapter 1 A Brief Introduction to Machine Learning and Multivariate Statistics

Andreas Tilevik

Ch Chapter 10 Classification and Performance Metrics

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Ch Chapter 11 Supervised Machine Learning

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Ch Chapter 12 Clustering

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Ch Chapter 13 PCR, PLS, and Lasso Regression

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Ch Chapter 14 Case Studies

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Ch Chapter 2 Matrix Algebra

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Ch Chapter 3 Managing Data in R

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Ch Chapter 4 Graphical Illustration of Multivariate Data

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Ch Chapter 5 Multivariate Relationships

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Ch Chapter 6 PCA and PCoA

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Ch Chapter 7 Linear Discriminant Analysis

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Ch Chapter 8 Distances in Space

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Ch Chapter 9 Multivariate Statistical Tests

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

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