Cluster Analysis
Brian S. Everitt(Author)
Hodder Arnold (Publisher)
3rd Edition
Published on 4. March 1993
Book
Hardback
176 pages
978-0-340-58479-8 (ISBN)
Article exhausted; check for reprint
Description
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".
More details
Edition
3rd Revised edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
72 b&w line illustrations, references
Dimensions
Height: 243 mm
Width: 165 mm
Thickness: 15 mm
Weight
440 gr
ISBN-13
978-0-340-58479-8 (9780340584798)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Brian S. Everitt | Sabine Landau | Morven Leese
Cluster Analysis
Book
05/2001
4th Edition
Hodder Arnold
€85.56
Article exhausted; check for reprint
Content
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.