Cluster Analysis
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Cluster Analysis

Cluster Analysis


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About the Book

This practical text has been reworked to provide an account of the subject of cluster analysis - the generic name for a wide variety of procedures involved with identifying groups within data. By organizing multivariate data into such subgroups clustering may help the investigator discover the characteristics of any structure or pattern present. However, applying the methods in practice requires considerable care and researchers may need guidance in order to avoid misinterpreting results. It offers an applied approach using limited mathematics, contains detailed descriptions of recent methods along with numerous examples and includes information on the software packages available. Other titles by Brian S. Everitt include "Talking About Statistics: A Psychologist's Guide to Design and Analysis" (with Dale F. Hay), "Applied Multivariate Data Analysis" (with Graham Dunn) and "Statistical Methods for Medical Investigations".

Table of Contents:
An introduction to classification and clustering; the initial examination of multivariate data; measurement of similarity, dissimilarity and distance; hierarchical clustering techniques; optimization methods for cluster analysis; mixture models for cluster analysis; other clustering techniques; some final comments and guidelines.


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Product Details
  • ISBN-13: 9780340584798
  • Publisher: Hodder Arnold
  • Publisher Imprint: Hodder Arnold
  • Edition: Revised edition
  • Language: English
  • Spine Width: 15 mm
  • Width: 165 mm
  • ISBN-10: 0340584793
  • Publisher Date: 04 Mar 1993
  • Binding: Hardback
  • Height: 243 mm
  • Returnable: N
  • Weight: 440 gr


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