Titre: An Introduction to Clustering with R (Behaviormetrics: Quantitative Approaches to Human Behavior, 1)
�diteur: Springer
Date de parution: 2020
Langue: anglais
ISBN � 10 chiffres: 9811305528
ISBN � 13 chiffres: 9789811305528
Reliure: Couverture rigide
�tat de l'article: New

A propos de ce titre

Synopsis

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.

� propos de l?auteur

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

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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