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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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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.About the Author:
Brian S. Everitt, Sabine Landau and Morven Leese are all at the Institute of Psychiatry, King's College London.
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Book Description Hodder Education Publishers, 2001. Hardcover. Condition: New. Never used!. Seller Inventory # P110340761199
Book Description Wiley, 2009. Hardcover. Condition: New. 4. Seller Inventory # DADAX0340761199
Book Description Hodder Education Publishers. Hardcover. Condition: New. 0340761199 New Condition. Seller Inventory # NEW7.1037013