Cluster Analysis

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9780470689356: Cluster Analysis

Cluster analysis comprises a range of methods of classifying multivariate data into subgroups and these techniques are widely applicable. This new edition incorporates material covering developing areas such as Bayesian statistics & neural networks.

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From the Publisher:

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.

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.

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1.

Brian S. Everitt, Sabine Landau, Morven Leese
Editorial: Wiley (2009)
ISBN 10: 0470689358 ISBN 13: 9780470689356
Nuevos Tapa dura Cantidad: 1
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Ergodebooks
(RICHMOND, TX, Estados Unidos de America)
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Descripción Wiley, 2009. Hardcover. Estado de conservación: New. 4. Nº de ref. de la librería DADAX0470689358

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Everitt
Editorial: John Wiley & Sons (2001)
ISBN 10: 0470689358 ISBN 13: 9780470689356
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Revaluation Books
(Exeter, Reino Unido)
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Descripción John Wiley & Sons, 2001. Hardcover. Estado de conservación: Brand New. 4th edition. 237 pages. 9.25x6.25x0.75 inches. In Stock. Nº de ref. de la librería zk0470689358

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