| Matrix Methods in Data Mining and Pattern Recognition |
| Author(s): | L. Eldén |
| Publisher: | SIAM |
| ISBN: | 9780898716269 |
| Format: | softback |
| 224pp | |
| Price: | $69.00 |
| Review Date: | 19 July 2007 |
| Review: | This is the latest in the Fundamentals of Algorithms series. It is for undergraduates who have already taken an introductory scientific computing/numerical analysis course. The book is in three parts. The first introduces some areas of data mining and pattern recognition: linear algebra concepts and matrix decompositions. Part II applies algebra techniques to data mining problems. . The last part provides an introduction to eigenvalues and singular value algorithms. |