An Introduction to Clustering with R

“Yet another book on clustering” or “Yet another book on R”. These may be the first reactions when reading the title of this book. However, it presents several distinctive features with respect to the huge number of monographs devoted to these topics. In fact, the aim is to provide a practical guide to clustering through real-life examples and case studies by means of the open-source statistical software R, which is gradually introduced with a detailed explanation about the code. In con- trast with books that are mainly involved in software, this book introduces the most common clustering methods from a theoretical point of view. In contrast with purely theoretical books on cluster analysis, this book carefully describes appli- cations in practice by considering a wide variety of real-life examples from different fields of research to witness the practical effectiveness of clustering tools.