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Cluster Analysis by Brian S. Everitt

Cluster Analysis

5th Edition

Brian S. Everitt, Sabine Landau, Morven Leese

Wiley · Print & ebook · February 21, 2011

Multivariate Analysis
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Who it’s for
Methods for grouping multivariate data, with practical examples and graphical techniques throughout.
Themes
Cluster analysis methods, Multivariate data classification, Practical data analysis
Genres
Multivariate Analysis

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About this book

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.

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This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: - Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis - Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies./li> - Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.

Clustering Multivariate Data

Methods for grouping multivariate data, with practical examples and graphical techniques throughout.

Come here for

  • Practical methods for classifying multivariate data into subgroups
  • Examples from bioinformatics and gene studies

Expect

  • Developments in clustering longitudinal data
  • A new chapter on mixture modeling for structured data

Where it sits

Multivariate Analysis99%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Multivariate Analysis
Authors
Brian S. Everitt, Sabine Landau, Morven Leese
Publisher
Wiley
Published
February 21, 2011
Format
Print & ebook
Theme
Cluster analysis methods · Multivariate data classification · Practical data analysis
Reading lane
Multivariate Analysis