Interactively Exploring High-Dimensional Data and Models in R (Paperback)

Sprache: Englisch

Verlag: Taylor & Francis Ltd, 2026

1032746092 / 9781032746098

Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 29. Juni 2022

Softcover

Zustand: Neu

EUR 58,62

EUR 44,35 Versand 
Versand von Vereinigtes Königreich nach USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

Paperback. Visualizing data is a powerful tool for uncovering patterns and insights that might otherwise remain hidden. While there are numerous resources available for data visualization, few focus comprehensively on high-dimensional data visualization. High-dimensional data, or multivariate data, arises when multiple variables are measured for each observation, presenting unique challenges and opportunities for analysis. High-dimensional data visualisation is valuable for understanding dimension reduction methods, unsupervised and supervised classification. This book provides a detailed guide to visualizing high-dimensional data and models using linear projections, with practical examples and R code to help readers explore these fascinating data spaces.Through this book, readers will learn how to identify patterns, clusters, and anomalies in high-dimensional data that are often obscured in lower-dimensional plots. By integrating visualization techniques with analytical methods, the book aims to enhance the understanding and interpretation of complex data structures, making it an essential resource for anyone working with multivariate data. The book is organised into three parts, following overview and introductory chapters. The dimension reduction chapters cover principal component analysis and nonlinear dimension reduction. The chapters on cluster analysis cover hierarchical and k-means algorithms, model-based and self-organising maps, and finish with ways to communicate results and how to compare different results. The chapters on classification cover linear discriminant analysis, tree and forest algorithms, support vector machines and neural networks.Key Features Comprehensive Introduction: Learn the fundamentals of high-dimensional spaces, visualization techniques, and essential notation for advanced methods. Dimension Reduction Techniques: Explore linear and non-linear methods to summarize high-dimensional data, detect issues, and evaluate representation quality. Cluster Analysis: Discover graphical and numerical approaches to identify groups in data, assess clustering techniques, and visualize solutions in high dimensions. Classification Methods: Understand how to explore known groups, check model assumptions, examine classification boundaries, and identify errors. Integration with R: Includes R code examples using packages like tourr, detourr, and mulgar to complement explanations and plots. Toolbox Chapter: A dedicated appendix chapter provides an overview of primary visualization methods and guidance for getting started.This book is designed for students, educators, researchers, data analysts, and industry professionals working in fields such as biology, social sciences, finance, and machine learning. It is particularly suited for those engaged in exploratory data analysis and model fitting for multivariate data. To make effective use of this material the reader should have a basic working knowledge of R and some understanding of multivariate statistical methods or machine learning methods. High-dimensional data visualisation is valuable for understanding dimension reduction methods, unsupervised and supervised classification. This book is organised into these three topics, following overview and introductory chapters and could form an independent course on visualization. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Bestandsnummer des Verkäufers 9781032746098

Titel
Interactively Exploring High-Dimensional Data and Models in R (Paperback)
Autor
Dianne Cook
Verlag
Taylor & Francis Ltd
Erscheinungsjahr
2026
Zustand
new
Einband
Paperback
Sprache
Englisch
ISBN-10
1032746092
ISBN-13
9781032746098

CitiRetail

Stevenage, Vereinigtes Königreich

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 29. Juni 2022

Versandkosten von Vereinigtes Königreich nach USA

Artikel7 bis 14 Werktage7 bis 60 Werktage
Erster ArtikelEUR 44,35EUR 44,35
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Shopbeschreibung

Online business

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

ABC BOOKS LIMITED

10 John Street
London, Vereinigtes Königreich WC1N 2EB