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Kaufman, Leonard

Finding Groups in Data: An Introduction to Cluster Analysis

Kaufman, Leonard - Finding Groups in Data: An Introduction to Cluster Analysis, ebook

170,50€

Ebook, PDF with Adobe DRM
ISBN: 9780470317488
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An introduction to the practical application of cluster analysis, Finding Groups in Data presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. The text discusses the main approaches to clustering and provides guidance in choosing between the available methods. It also discusses various types of data, including interval-scaled and binary variables as well as similarity data and explains how these can be transformed prior to clustering. With numerous exercises to aid learning, Finding Groups in Data provides an invaluable introduction to cluster analysis with an emphasis on methods that are both easy to use and modern.

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2009
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9780470317488
Printed ISBN
9780471878766

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