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Principal Components Analysis

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May 1, 2024 3 minute read
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Principal Component Analysis (PCA) is a dimensionality reduction technique that aims to reduce the number of features in a dataset while retaining the most important information. PCA assumes that the data lies on a linear subspace of lower dimensionality, and it finds the directions of maximum variance in the data. These directions are called principal components, and they can be used to represent the data in a lower-dimensional space.

Benefits of Using PCA

PCA offers several benefits, including:

Path to Principal Components Analysis

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We've curated four courses to help you on your path to Principal Components Analysis. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Principal Components Analysis.
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Applied Multivariate Statistical Analysis
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This comprehensive textbook covers a wide range of multivariate statistical techniques, including principal components analysis. It is written in a clear and accessible style, and it includes numerous examples and exercises.
Applied Multivariate Statistical Analysis
Paperback
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Applied Multivariate Statistical Analysis
Kindle Edition
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Principal Component Analysis
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Provides a practical guide to principal components analysis. It includes numerous examples and exercises.
Principal Component Analysis (Springer Series in...
Paperback
$$$$
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Compositional Data Analysis in Practice
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Provides a practical guide to principal components analysis using the R statistical software. It includes numerous examples and exercises.
Compositional Data Analysis in Practice
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Compositional Data Analysis in Practice
Kindle Edition
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Applied Multivariate Data Analysis
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Provides a comprehensive overview of principal components analysis. It covers the theory, methods, and applications of PCA, and it includes numerous examples and exercises.
Applied Multivariate Data Analysis: Volume II:...
Hardcover
$$$
Applied Multivariate Data Analysis: Regression and...
Hardcover
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Financial Analysis, Planning & Forecasting
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Provides a clear and concise introduction to principal components analysis for non-statisticians. It includes numerous examples and exercises.
Financial Analysis, Planning And Forecasting:...
Kindle Edition
$$
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