Linear Algebra Tools For Data Mining

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.

"About this title" may belong to another edition of this title.

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Title: Linear Algebra Tools For Data Mining
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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Buch. Condition: Neu. LINEAR ALGEBRA TOOL DATA (2ND ED) | Simovici Dan A | Buch | Gebunden | Englisch | 2023 | World Scientific | EAN 9789811270338 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 126142651

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Hardback. Condition: New. Second Edition. 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 # LU-9789811270338

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Dan A Simovici
ISBN 10: 9811270333 ISBN 13: 9789811270338
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Hardback. Condition: New. Second Edition. 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 # LU-9789811270338

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