Chapter 4

Dimension Reduction and PCA

Learning Objectives

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

  • Apply dimension reduction techniques.
  • Describe the concepts behind principal components and dimensionality reduction.
  • Apply principal component analysis (PCA) when solving problems using scikit-learn.
  • Compare manual PCA versus scikit-learn.

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

Introduction

This chapter is the first of a series of three chapters that investigate the use of different feature sets (or spaces) in our unsupervised learning algorithms, and we will start with a discussion around dimensionality reduction, specifically, PCA. We will then extend upon our understanding ...

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