Год издания: 2001
Издатель: A Hodder Arnold Publication
Количество страниц: 248
В продаже с 18.01.2012
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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.