Linear Algebra Tools for Data Mining (Second Edition)

Dan A Simovici

ISBN 10: 9811270333 ISBN 13: 9789811270338
Published by World Scientific Publishing Company, 2023
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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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Title: Linear Algebra Tools for Data Mining (Second...
Publisher: World Scientific Publishing Company
Publication Date: 2023
Binding: HRD
Condition: New
Edition: 2nd Edition

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextThis 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, si. Seller Inventory # 894907992

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Dan A Simovici
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9789811270338

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