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Matrix Methods in Data Mining and Pattern Recognition - Fundamentals of Algorithms Lars Elden 2 Revised edition
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Matrix Methods in Data Mining and Pattern Recognition - Fundamentals of Algorithms
Lars Elden
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.
229 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 30, 2020 |
| ISBN13 | 9781611975857 |
| Publishers | Society for Industrial & Applied Mathema |
| Pages | 229 |
| Dimensions | 255 × 178 × 20 mm · 526 g |
See all of Lars Elden ( e.g. Paperback Book )