Cluster Analysis Hardcover - 2011 - 5th Edition
by Brian S. Everitt; Sabine Landau; Morven Leese
From the rear 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.
Details
- Title Cluster Analysis
- Author Brian S. Everitt; Sabine Landau; Morven Leese
- Binding Hardcover
- Edition number 5th
- Edition 5
- Pages 352
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons
- Date 2011-02-21
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- ISBN 9780470749913 / 0470749911
- Weight 1.41 lbs (0.64 kg)
- Dimensions 9.1 x 6.2 x 0.9 in (23.11 x 15.75 x 2.29 cm)
- Library of Congress subjects Cluster analysis, MATHEMATICS / Probability & Statistics /
- Library of Congress Catalog Number 2010037932
- Dewey Decimal Code 519.53
Media reviews
Citations
- Reference and Research Bk News, 04/01/2011, Page 282
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