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Cluster Analysis Fifth Edition Wiley Series In Probability And Statistics 5th Brian S Everitt

  • SKU: BELL-2431966
Cluster Analysis Fifth Edition Wiley Series In Probability And Statistics 5th Brian S Everitt
$ 31.00 $ 45.00 (-31%)

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Cluster Analysis Fifth Edition Wiley Series In Probability And Statistics 5th Brian S Everitt instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 2.79 MB
Pages: 348
Author: Brian S. Everitt, Dr Sabine Landau, Dr Morven Leese, Dr Daniel Stahl
ISBN: 9780470749913, 9780470977804, 9780470977811, 0470749911, 0470977809, 0470977817
Language: English
Year: 2011
Edition: 5th

Product desciption

Cluster Analysis Fifth Edition Wiley Series In Probability And Statistics 5th Brian S Everitt by Brian S. Everitt, Dr Sabine Landau, Dr Morven Leese, Dr Daniel Stahl 9780470749913, 9780470977804, 9780470977811, 0470749911, 0470977809, 0470977817 instant download after payment.

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.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• 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.

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