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Francesca Martella
An Introduction to Clustering with R
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4153838An Introduction to Clustering with Rhttps://www.gandhi.com.mx/an-introduction-to-clustering-with-r-9789811305535/phttps://gandhi.vtexassets.com/arquivos/ids/3118352/92d0cea5-833e-41be-9ef4-c773deca242c.jpg?v=63838490463137000029273252MXNSpringer Nature SingaporeInStock/Ebooks/<p>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.</p>...4090338An Introduction to Clustering with R29273252https://www.gandhi.com.mx/an-introduction-to-clustering-with-r-9789811305535/phttps://gandhi.vtexassets.com/arquivos/ids/3118352/92d0cea5-833e-41be-9ef4-c773deca242c.jpg?v=638384904631370000InStockMXN99999DIEbook20209789811305535_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_<p>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.</p>(*_*)9789811305535_<p>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.</p>...9789811305535_Springer Singapore(*_*)9789811305535_Springer Nature Singaporelibro_electonico_dbe340cb-a0b9-37a0-ad9c-570fa1678d66_9789811305535;9789811305535_9789811305535Francesca MartellaInglésMéxico2020-08-27T00:00:00+00:00Springer Nature Singapore