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Machine Learning with R

You're reading from   Machine Learning with R R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162148
Length 396 pages
Edition 1st Edition
Languages
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Author (1):
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Brett Lantz Brett Lantz
Author Profile Icon Brett Lantz
Brett Lantz
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Table of Contents (19) Chapters Close

Machine Learning with R
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Introducing Machine Learning FREE CHAPTER 2. Managing and Understanding Data 3. Lazy Learning – Classification Using Nearest Neighbors 4. Probabilistic Learning – Classification Using Naive Bayes 5. Divide and Conquer – Classification Using Decision Trees and Rules 6. Forecasting Numeric Data – Regression Methods 7. Black Box Methods – Neural Networks and Support Vector Machines 8. Finding Patterns – Market Basket Analysis Using Association Rules 9. Finding Groups of Data – Clustering with k-means 10. Evaluating Model Performance 11. Improving Model Performance 12. Specialized Machine Learning Topics Index

Chapter 9. Finding Groups of Data – Clustering with k-means

Have you ever spent time watching large crowds? As a sociologist, this was one of my favorite pastimes. I would choose a busy location, such as a coffee shop, library, or cafeteria, and observe the masses of people for interesting patterns of behavior. The goal was to look for details that reveal an insight into how people, as a general rule, relate to each other and their environment.

The more you perform such observational research, the more you may see recurring personalities. Perhaps a certain type of person, identified by a freshly-pressed suit and a briefcase, comes to typify the white-collar business executive. A twenty-something wearing tight jeans, a flannel shirt, and sunglasses might fall into the hipster category, while a woman unloading children from a minivan could be labeled a soccer mom.

Of course, these types of stereotypes are dangerous to apply to individuals—no two people are exactly alike. Used in aggregate, however...

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