Language: English
Published by Society for Industrial and Appli, 2007
ISBN 10: 0898716268 ISBN 13: 9780898716269
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268 ISBN 13: 9780898716269
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Language: English
Published by Siam, Estados Unidos, 2007
ISBN 10: 0898716268 ISBN 13: 9780898716269
Seller: LIBRERÍA SOLÓN, Madrid, M, Spain
Tapa Blanda. Condition: Bien. Tapa blanda. Abundantes gráficos e ilustraciones.9780898716269. Siam. Estados Unidos. 2007. 26x18 centímetros. 224 páginas. Tapa blanda. Estado=Bien. Inglés.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2020
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Second Edition. This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios, and provides a set of tools that students can modify for a particular application.Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph Laplacian and properties of its eigenvectors needed in spectral partitioning and describes spectral graph partitioning applied to social networks and text classification. Examples are included to help readers visualize the results. This new edition also presents matrix-based methods that underlie many of the algorithms used for big data.The book provides a solid foundation to further explore related topics and presents applications such as classification of handwritten digits, text mining, text summarization, PageRank computations related to the Google search engine, and facial recognition. Exercises and computer assignments are available on a Web page that supplements the book.Matrix Methods in Data Mining and Pattern Recognition, Second Edition is primarily for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra techniques.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd revised edition edition. 229 pages. 10.00x7.05x0.63 inches. In Stock.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
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Condition: New. 2019. Second. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 1611975859 ISBN 13: 9781611975857
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Condition: New. Second edition NO-PA16APR2015-KAP.
Language: English
Published by Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268 ISBN 13: 9780898716269
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
paperback. Condition: New. In shrink wrap. Looks like an interesting title!
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2020
ISBN 10: 1611975859 ISBN 13: 9781611975857
Seller: Rarewaves.com UK, London, United Kingdom
US$ 90.46
Quantity: 2 available
Add to basketPaperback. Condition: New. Second Edition. This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios, and provides a set of tools that students can modify for a particular application.Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph Laplacian and properties of its eigenvectors needed in spectral partitioning and describes spectral graph partitioning applied to social networks and text classification. Examples are included to help readers visualize the results. This new edition also presents matrix-based methods that underlie many of the algorithms used for big data.The book provides a solid foundation to further explore related topics and presents applications such as classification of handwritten digits, text mining, text summarization, PageRank computations related to the Google search engine, and facial recognition. Exercises and computer assignments are available on a Web page that supplements the book.Matrix Methods in Data Mining and Pattern Recognition, Second Edition is primarily for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra techniques.
Language: English
Published by Society for Industrial and Applied Mathematics, 2007
ISBN 10: 0898716268 ISBN 13: 9780898716269
Seller: SHIMEDIA, Brooklyn, NY, U.S.A.
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