Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Applied Unsupervised Learning with R

You're reading from   Applied Unsupervised Learning with R Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Arrow left icon
Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789956399
Length 320 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Bradford Tuckfield Bradford Tuckfield
Author Profile Icon Bradford Tuckfield
Bradford Tuckfield
Alok Malik Alok Malik
Author Profile Icon Alok Malik
Alok Malik
Arrow right icon
View More author details
Toc

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 analysis is a technique for generating associative rules in datasets. The chapter will contain a walk-through of detailed R code that accomplishes this. PCA, a very common dimension reduction technique, comes from theoretical linear algebra. The chapter will also show a detailed walk-through of how to accomplish PCA with R.

The Idea of Dimension Reduction

The dimensions of a dataset are nothing more than the collection of distinct numbers that are required to describe observations in it. For example, consider the position of Pac-Man in the game named after him. Pac-Man is a game that was...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime