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Understanding Complex Datasets: Data Mining with Matrix Decompositions - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series Skillicorn, David (Queen's University, Canada) 1. izdevums
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Understanding Complex Datasets: Data Mining with Matrix Decompositions - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Skillicorn, David (Queen's University, Canada)
Focusing on data mining mechanics and applications, this book explores some of the most common matrix decompositions, including singular value, semidiscrete, independent component analysis, non-negative matrix factorization, and tensors. It also discusses several important theoretical and algorithmic problems of matrix decompositions.
260 pages, 84 black & white illustrations
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2007. gada 17. maijs |
| ISBN13 | 9781584888321 |
| Izdevēji | Taylor & Francis Inc |
| Lapas | 266 |
| Izmēri | 162 × 239 × 22 mm · 650 g |
| Valoda | Angļu |
| Sērijas redaktors | Kumar, Vipin (University of Minnesota, Minneapolis, USA) |
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