Book Image

Unsupervised Learning with R

By : Erik Rodríguez Pacheco
Book Image

Unsupervised Learning with R

By: Erik Rodríguez Pacheco

Overview of this book

<p>The R Project for Statistical Computing provides an excellent platform to tackle data processing, data manipulation, modeling, and presentation. The capabilities of this language, its freedom of use, and a very active community of users makes R one of the best tools to learn and implement unsupervised learning.</p> <p>If you are new to R or want to learn about unsupervised learning, this book is for you. Packed with critical information, this book will guide you through a conceptual explanation and practical examples programmed directly into the R console.</p> <p>Starting from the beginning, this book introduces you to unsupervised learning and provides a high-level introduction to the topic. We quickly move on to discuss the application of key concepts and techniques for exploratory data analysis. The book then teaches you to identify groups with the help of clustering methods or building association rules. Finally, it provides alternatives for the treatment of high-dimensional datasets, as well as using dimensionality reduction techniques and feature selection techniques.</p> <p>By the end of this book, you will be able to implement unsupervised learning and various approaches associated with it in real-world projects.</p>
Table of Contents (15 chapters)
Unsupervised Learning with R
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Appendix A. References

The author of this book is not the creator of any of the packages, functions, or programs used in each of the examples; I am only a facilitator. For that reason, I would like to sincerely thank the developers of R and the R Packages, who have contributed so generously to the growing of the R open source community. In this book, we use many packages and sometimes the definitions of these packages. In order to be respectful to the authors, they are written verbatim.

This appendix provides a list of links referenced in the book, which are sorted chapter-wise.

Hyperlinks provide a gateway to extensive literature that can be accessed on the Internet. They provide information above and beyond what one finds in a single article, book, blog, or other media formats. However, when one writes a book, the links provided in the printed book are useful to only those readers who would go to any lengths to find information, but for others, these links are irksome, frustrating, and almost useless. They are of course useful in online formats such as e-books.

In order to conform to page-count limits set by the publishers and yet provide guidance to the readers, there is no better way than publishing a list of links that is sorted chapter-wise and placed in a location that is easy to access. This appendix is an attempt to do just that. However, some essential information is used in the book in some chapters.