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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms, Series Number 4) - Softcover
Synopsis
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.
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About the Author
Lars Eldén is professor of numerical analysis at Linköping University in Sweden.
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms, Series Number 4)
Published by
Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
Published by
Society for Industrial and Appli, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
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Matrix Methods in Data Mining and Pattern Recognition
Published by
Society for Industrial and Applied Mathematic, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
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Matrix Methods in Data Mining and Pattern Recognition
Published by
Society for Industrial and Applied Mathematic, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms, Series Number 4)
Published by
Society for Industrial and Appli, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms, Series Number 4)
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
Published by
Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
Softcover
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Matrix Methods in Data Mining and Pattern Recognition
Published by
Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
Paperback
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 2 out of 5 stars
Paperback. Condition: Good. 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 I, linear algebra techniques are applied to data mining problems. Part I 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. Seller Inventory # CIN0898716268G
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms, Series Number 4)
Published by
Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
paperback
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Matrix Methods in Data Mining and Pattern Recognition
Published by
Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268
ISBN 13: 9780898716269
Used
Softcover
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