Cluster Analysis (SSRC review of current research) - Softcover

Softcover

ISBN 10: 0435822969 ISBN 13: 9780435822965

Publisher: Gower Pub Co

Synopsis

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".

About this title

Review

... well structured and informative, providing detailed accounts of the new developments in the field. It is undoubtedly both an excellent inroduction to and a valuable reference work on cluster analysis. (Swiss Journal of Psychology 2003-10-01)

...this continues to be an excellent general introduction to an important and expanding topic. (Short Book Reviews 2001-11-01)

From the Back Cover

Cluster Analysis: 5th Edition

Brian S. Everitt, Professor Emeritus, King′s College, London, UK
Sabine Landau, Morven Leese and Daniel Stahl, Institute of Psychiatry, King′s College London, UK

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.

This 5th edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.

Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non–mathematical, focusing on the practical aspects of cluster analysis.

Key Features:

Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis.
Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies
Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data.

Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.

Edition details

• Publisher: Gower Pub Co
• Language: English
• ISBN 10: 0435822969
• ISBN 13: 9780435822965
• Binding: Paperback