Linear Algebra Tools for Data Mining

Simovici, Dan A.

ISBN 10: 9811270333 / ISBN 13: 9789811270338

Editore: World Scientific Pub Co Inc, 2023

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2nd edition. 985 pages. 9.00x6.25x2.25 inches. In Stock. Codice articolo x-9811270333

Dati bibliografici

Titolo: Linear Algebra Tools for Data Mining

Casa editrice: World Scientific Pub Co Inc

Data di pubblicazione: 2023

Legatura: Hardcover

Condizione: Brand New

Edizione: seconda edizione

Descrizione articolo

Riassunto:

"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. Readership: Researchers, professionals, academics and graduate students in pattern recognition/image analysis, AI, machine learning and databases"--