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Finding Groups in Data by Leonard Kaufman
Finding Groups in Data by Leonard Kaufman
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Finding Groups in Data

An Introduction to Cluster Analysis
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Description

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 Biography:

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.
Release date Australia
May 3rd, 2005
Audience
  • Professional & Vocational
Illustrations
Graphs: 113 B&W, 0 Color
Pages
368
Dimensions
160x236x18
ISBN-13
9780471735786
Product ID
2667713

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