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Applied Unsupervised Learning with R by Bradford Tuckfield, Alok Malik

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Chapter 4

Dimension Reduction

Learning Objectives

By the end of this chapter, you will be able to:

  • Apply different dimension reduction techniques
  • Execute market basket analysis using the Apriori algorithm
  • Perform principal component analysis on a dataset

In this chapter, we will have a look at different dimension reduction techniques.

Introduction

This chapter presents techniques for unsupervised learning that accomplish something called dimension reduction. First, we will discuss what a dimension is, why we want to avoid having too many dimensions, and the basic idea of dimension reduction. The chapter then covers two dimension reduction techniques in detail: market basket analysis and Principal Component Analysis (PCA). Market basket ...

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