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Book Synopsis

This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.

Linear Algebra Tools For Data Mining

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    A Hardback by Dan A Simovici

    £189.00

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    RRP £210.00 – you save £21.00 (10%)

    Order before 4pm on Monday for delivery by Fri 27 Nov 2026.

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      Book details

      Publisher World Scientific Publishing Co Pte Ltd
      Published 14 July 2023
      ISBN-13 9789811270338
      978-9811270338
      ISBN-10 9811270333
      Also in:
      Algebra Applied mathematics

      Description

      Book Synopsis

      This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.

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