Cluster Analysis

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".

An accessible and practical introduction to clustering using a minimum of mathematics. This extensively revised edition contains detailed descriptions of the latest methods along with numerous examples and updated information on available software packages. Closing chapters provide suggestions which will be helpful in many situations when applying clustering or evaluating results.