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Matrix methods in data mining and pattern recognition. 2nd revised edition. (English) Zbl 1423.68003
Fundamentals of Algorithms 15. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 978-1-61197-585-7/pbk; 978-1-61197-586-4/ebook). xii, 229 p. (2019).
From the publisher’s description: 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.
See the review of the first edition in [Zbl 1120.68092].
Reviewer: Reviewer (Berlin)
MSC:
68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science
65F10 Iterative numerical methods for linear systems
65F15 Numerical computation of eigenvalues and eigenvectors of matrices
65F25 Orthogonalization in numerical linear algebra
65Y15 Packaged methods for numerical algorithms
68T05 Learning and adaptive systems in artificial intelligence
68T10 Pattern recognition, speech recognition
68U10 Computing methodologies for image processing
68U15 Computing methodologies for text processing; mathematical typography
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