Linear Algebra Tools for Data Mining: 2nd Edition - Rilegato

Simovici, Dan A.

Rilegato

ISBN 10: 9811270333 ISBN 13: 9789811270338

Casa editrice: World Scientific Pub Co Inc, 2023

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"--

Dettagli dell?edizione

• Editore: World Scientific Pub Co Inc
• Data di pubblicazione: 2023
• ISBN 10: 9811270333
• ISBN 13: 9789811270338
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 2
• Numero di pagine: 985