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Description - Finding Groups in Data by Leonard Kaufman

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.

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Book Details

ISBN: 9780471735786
ISBN-10: 0471735787
Format: Paperback
(234mm x 160mm x 19mm)
Pages: 342
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 25-Mar-2005
Country of Publication: United States

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Author Biography - Leonard Kaufman

LEONARD KAUFMAN, PhD, is affiliated with Vrije University in Brussels, Belgium. PETER J. ROUSSEEUW, PhD, is a Professor in the Department of Mathematics and Computer Science at the University of Antwerp in Belgium.