The final chapter of this book focuses on dimensionality reduction techniques. We will start with a discussion of what dimensionality reduction is used for. Then, we will look at the first dimensionality reduction technique—principal component analysis. Then, we will talk about singular value decomposition—a linear algebra decomposition of great importance. Finally, we will discuss multidimensional scaling.

The following topics will be covered in this chapter:

• Introducing dimensionality reduction
• Principal component analysis
• Singular value decomposition
• Low-dimensional representation