An Introduction to Clustering with R
Authors: Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca
Free Preview- Provides a practical guide to clustering through real-life examples and case studies
- Presents standard hard clustering and up-to-date soft clustering techniques
- Gives a gradual introduction to R with detailed explanation of the code
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- About this book
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The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book.
- About the authors
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Paolo Giordani, Department of Statistical Sciences, Sapienza University of Rome
Maria Brigida Ferraro, Department of Statistical Sciences, Sapienza University of Rome
Francesca Martella, Department of Statistical Sciences, Sapienza University of Rome
- Table of contents (7 chapters)
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Introduction to Clustering
Pages 3-5
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Hierarchical Clustering
Pages 9-73
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Non-Hierarchical Clustering
Pages 75-109
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Big Data and Clustering
Pages 111-121
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Fuzzy Clustering
Pages 125-211
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Table of contents (7 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- An Introduction to Clustering with R
- Authors
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- Paolo Giordani
- Maria Brigida Ferraro
- Francesca Martella
- Series Title
- Behaviormetrics: Quantitative Approaches to Human Behavior
- Series Volume
- 1
- Copyright
- 2020
- Publisher
- Springer Singapore
- Copyright Holder
- Springer Nature Singapore Pte Ltd.
- eBook ISBN
- 978-981-13-0553-5
- DOI
- 10.1007/978-981-13-0553-5
- Hardcover ISBN
- 978-981-13-0552-8
- Series ISSN
- 2524-4027
- Edition Number
- 1
- Number of Pages
- XVII, 340
- Number of Illustrations
- 112 b/w illustrations, 59 illustrations in colour
- Topics
