Synopsis
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques are applicable in a wide range of areas such as medicine, psychology and market research. This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering. 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.
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About the Author
Brian S. Everitt, Sabine Landau and Morven Leese are all at the Institute of Psychiatry, King′s College London.
From the Back Cover
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques are applicable in a wide range of areas such as medicine, psychology and market research. This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering. 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.
"About this title" may belong to another edition of this title.
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Cluster Analysis
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Hodder Education Publishers, 2001
ISBN 10: 0340761199
ISBN 13: 9780340761199
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Cluster Analysis
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Cluster Analysis
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Cluster Analysis
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