Applied Unsupervised Learning with R

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 ...