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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)

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. Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. 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 MATLABÂ®. Some mathematical proofs that emphasize the existence and properties of the matrix decompositions are included. 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 by the author are: classification of handwritten digits, text mining, text summarization, pagerank computations related to the GoogleÃ” search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

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	Science/Engineering Pattern Recognition : Concepts, Methods and Applications ISBN: 3540422978Title: Pattern Recognition : Concepts, Methods and ApplicationsAuthor: J.P. Marques de S?Publisher: SpringerPublication Date: 2001-10-02Number Of Pages: 318Average Amazon Rating: 4.019.9 Mb pdfThe book provides a comprehensi ...
	Technical Data Complexity in Pattern Recognition \| Ebook Share Publisher: SpringerLanguage: EnglishISBN: 1846281717Paperback:?300 pagesData: Sep 2006Format: PDFDescription: Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily ...
	Programming Pattern Recognition Algorithms for Data Mining Sankar K. Pal, Pabitra Mitra “Pattern Recognition Algorithms for Data Mining" Chapman & Hall/CRC \| 2004-05-27 \| ISBN: 1584884576 \| 280 pages \| PDF \| 3,7 Mb
	Science/Engineering Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications Glenn J. Myatt, Wayne P. Johnson, "Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications" Wiley \| 2009 \| ISBN: 0470222808 \| 291 pages \| PDF \| 9,3 MB A hands-on guide to making val ...
	Programming Hybrid Methods in Pattern Recognition Hybrid Methods in Pattern Recognition Publisher: World Scientific Publishing Company \| ISBN: 9810248326 \| edition 2002 \| PDF \| 338 pages \| 14,19 mbCollection of articles describing recent progress in this emerging field. Covers topics such ...
	Data Complexity in Pattern Recognition Data Complexity in Pattern RecognitionSpringer-Verlag \| English \| 2006 \| 300 Pages \| ISBN: 1846281717 \| PDF \| 5 MBMachines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as i ...

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