An Introduction to Clustering with R - Paolo Giordani, Maria Brigida Ferraro, Francesca Martella

An Introduction to Clustering with R (eBook)

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2020 | 1st ed. 2020
XVII, 340 Seiten
Springer Singapore (Verlag)
978-981-13-0553-5 (ISBN)
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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.



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

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.
Erscheint lt. Verlag 27.8.2020
Reihe/Serie Behaviormetrics: Quantitative Approaches to Human Behavior
Behaviormetrics: Quantitative Approaches to Human Behavior
Zusatzinfo XVII, 340 p. 171 illus., 59 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Naturwissenschaften Biologie
Schlagworte cluster analysis • Data Analysis • Multivariate Statistics • Practical Guide • R Code • R Datasets • R software
ISBN-10 981-13-0553-6 / 9811305536
ISBN-13 978-981-13-0553-5 / 9789811305535
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