Cluster Analysis (Hardcover)
by Brian S. Everitt (Author), Sabine Landau (Author), Morven Leese (Author)
Editorial Reviews

Book Description
Cluster analysis comprises a range of methods of classifying multivariate data into subgroups, and these techniques are widely applicable. The 4th edition of Cluster Analysis updates the successful 3rd edition and incorporates new material to cover developing areas, such as Bayesian statistics and neural networks. In addition, recent research on the evaluation of results and the assessment of the number of clusters has also been included. Real-life examples are used throughout to demonstrate the application of the theory, and graphical techniques are demonstrated with appropriate figures. Finally, this edition includes information on the software packages currently available. The author assumes some prior knowledge of statistics, but writes in a non-mathematical, accessible style. This concise book is ideal for postgraduate students of statistics, as well as researchers in medicine, sociology, and market research.

The publisher, John Wiley & Sons
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. --This text refers to an out of print or unavailable edition of this title.

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Product Details

Hardcover: 248 pages

Publisher: A Hodder Arnold Publication; 4th edition (June 18, 2001)

Language: English

ISBN-10: 0340761199

ISBN-13: 978-0340761199

[此贴子已经被作者于2007-10-7 5:18:43编辑过]