Cluster Analysis

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9780470749913: Cluster Analysis

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 fifth 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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Brian S. Everitt, Sabine Landau, Morven Leese
Editore: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley and Sons Ltd, United States, 2011. Hardback. Condizione libro: New. 5th Revised edition. Language: English . Brand New Book. 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 fifth 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. Codice libro della libreria AAH9780470749913

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Descrizione libro Wileyand#8211;Blackwell, 2011. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9780470749913

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Brian S. Everitt, Sabine Landau, Morven Leese
Editore: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley and Sons Ltd, United States, 2011. Hardback. Condizione libro: New. 5th Revised edition. Language: English . Brand New Book. 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 fifth 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. Codice libro della libreria AAH9780470749913

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Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl
Editore: Wiley 2011-01-07, Chichester (2011)
ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro Wiley 2011-01-07, Chichester, 2011. hardback. Condizione libro: New. Codice libro della libreria 9780470749913

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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0470749911. Codice libro della libreria ST0470749911

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Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl
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ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley and Sons Ltd. Hardback. Condizione libro: new. BRAND NEW, Cluster Analysis (5th Revised edition), Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl, 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 fifth 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. Codice libro della libreria B9780470749913

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Everitt, Brian S.; Landau, Sabine; Leese, Morven; Stahl, Daniel
Editore: John Wiley and Sons Ltd (2011)
ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley and Sons Ltd, 2011. Condizione libro: New. 2011. 5th Edition. Hardcover. * Presents a comprehensive guide to clustering techniques. * Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies * Includes a new section on how to use R for cluster analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 346 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 24. Weight in Grams: 626. . . . . . . Codice libro della libreria V9780470749913

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Everitt, Brian S.; Landau, Sabine; Leese, Morven; Stahl, Daniel
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Descrizione libro John Wiley and Sons Ltd. Condizione libro: New. 2011. 5th Edition. Hardcover. * Presents a comprehensive guide to clustering techniques. * Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies * Includes a new section on how to use R for cluster analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 346 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 24. Weight in Grams: 626. . . . . . Books ship from the US and Ireland. Codice libro della libreria V9780470749913

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Brian S. Everitt; Sabine Landau; Morven Leese
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ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley & Sons, 2011. Condizione libro: New. book. Codice libro della libreria ria9780470749913_rkm

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Everitt, Brian S.
Editore: John Wiley & Sons (2016)
ISBN 10: 0470749911 ISBN 13: 9780470749913
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Descrizione libro John Wiley & Sons, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780470749913_lsuk

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