An Introduction to Clustering with R: Behaviormetrics: Quantitative Approaches to Human Behavior, cartea 1
Autor Paolo Giordani, Maria Brigida Ferraro, Francesca Martellaen Limba Engleză Hardback – 28 aug 2020
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Specificații
ISBN-13: 9789811305528
ISBN-10: 9811305528
Pagini: 350
Ilustrații: XVII, 340 p. 171 illus., 59 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Behaviormetrics: Quantitative Approaches to Human Behavior
Locul publicării:Singapore, Singapore
ISBN-10: 9811305528
Pagini: 350
Ilustrații: XVII, 340 p. 171 illus., 59 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Behaviormetrics: Quantitative Approaches to Human Behavior
Locul publicării:Singapore, Singapore
Cuprins
Section: Introduction.- 1.1Introduction to clustering.- 1.2R software.- 2.Section: Standard algorithms.- 2.1Introduction.- 2.2Distances and dissimilarities.- 2.3Hierarchical methods.- 2.4Non-hierarchical methods.- 2.5Cluster validity.- 3.Section: Fuzzy algorithms.- 3.1Introduction.- 3.2Fuzzy K-means.- 3.3Fuzzy K-medoids.- 3.4Other fuzzy variants.- 3.5Cluster validity.- 4.Section: Model-based algorithms.- 4.1Introduction.- 4.2 Mixture of Gaussian distributions.- 4.3Mixture of non-Gaussian distributions.- 4.4 Parsimonious mixture models.
Recenzii
“This book is written for anybody who would like to start clustering using R … and considers both practical and theoretical aspects. … this is an in-depth introduction to clustering analysis considering both the theory and applications in R, with various examples in different fields. … More than just an introduction, this would be a very good companion book for researchers to help them understand clustering with R, and to compare the various methods and their applications.” (Sébastien Bailly, ISCB News, iscb.info, Issue 71, June, 2021)
Notă biografică
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
Textul de pe ultima copertă
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 interestedin 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.
Caracteristici
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