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Matrix Methods in Data Mining and Pattern Recognition

Name: Matrix Methods in Data Mining and Pattern Recognition
Brand: Society for Industrial & Applied Mathematics,U.S.
SKU: 04379382
Price: 34378 HUF
Availability: InStock
Author: Lars Elden
ISBN: 9780898716269

Lars Elden

Language

English

Book Paperback

Libristo code: 04379382

Publishers Society for Industrial & Applied Mathematics,U.S., April 2007

Several very powerful numerical linear algebra techniques are available for solving problems in data... Full description

Libristo code: 04379382

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34 378 Ft

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Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.