Nonnegative Matrix Factorization by Nicolas Gillis (14 results)

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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    Condition: like_new. This is a used book in pristine condition. It has not yet been read. May or may not come in original packaging. May not contain codes CDs Inserts that is included with the book. Box sets will include original box in tact. Cover and interior may vary slightly from retail edition. *Your satisfaction is our 1 priority so please feel free to contact us if you have any questions or concerns about your purchase. Thank you for choosing to shop with us and happy reading. …

  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by Society For Industrial & Applied Mathematics,U.S., 2020

    1611976405 / 9781611976403

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    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback / Softback. Condition: Brand New. 350 pages. 10.04x7.09x1.02 inches. In Stock.

  • Language: English

    Published by Society for Industrial & Applied Mathematics,U.S., 2021

    1611976405 / 9781611976403

    • Softcover

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

    • Softcover

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  • Language: English

    Published by Society for Industrial and Applied Mathematics,U.S., US, 2021

    1611976405 / 9781611976403

    • Softcover

    Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA

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    Paperback. Condition: New. Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a comprehensive and up-to-date account of the most important aspects of the NMF problem and is the first to detail its theoretical aspects, including geometric interpretation, nonnegative rank, complexity, and uniqueness. It explains why understanding these theoretical insights is key to using this computational tool effectively and meaningfully.Nonnegative Matrix Factorization is accessible to a wide audience and is ideal for anyone interested in the workings of NMF. It discusses some new results on the nonnegative rank and the identifiability of NMF and makes available MATLAB codes for readers to run the numerical examples presented in the book. Graduate students starting to work on NMF and researchers interested in better understanding the NMF problem and how they can use it will find this book useful. It can be used in advanced undergraduate and graduate-level courses on numerical linear algebra and on advanced topics in numerical linear algebra and requires only a basic knowledge of linear algebra and optimization.…

  • Language: English

    Published by MP-SIA SIAM - Society for Industrial and Applied M, 2021

    1611976405 / 9781611976403

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by Society for Industrial & Applied Mathematics,U.S., 2020

    1611976405 / 9781611976403

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  • Language: English

    Published by SIAM - Society for Industrial and Applied Mathematics, 2020

    1611976405 / 9781611976403

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Society for Industrial and Applied Mathematics,U.S., US, 2021

    1611976405 / 9781611976403

    • Softcover

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    Paperback. Condition: New. Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a comprehensive and up-to-date account of the most important aspects of the NMF problem and is the first to detail its theoretical aspects, including geometric interpretation, nonnegative rank, complexity, and uniqueness. It explains why understanding these theoretical insights is key to using this computational tool effectively and meaningfully.Nonnegative Matrix Factorization is accessible to a wide audience and is ideal for anyone interested in the workings of NMF. It discusses some new results on the nonnegative rank and the identifiability of NMF and makes available MATLAB codes for readers to run the numerical examples presented in the book. Graduate students starting to work on NMF and researchers interested in better understanding the NMF problem and how they can use it will find this book useful. It can be used in advanced undergraduate and graduate-level courses on numerical linear algebra and on advanced topics in numerical linear algebra and requires only a basic knowledge of linear algebra and optimization.…