Linear Algebra Tools for Data Mining

By Matthew Peterson

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications. Key Features Integrates the mathematical developments to their applications in data mining without sacrificing the mathematical rigor Presented applications with full mathematical justifications and are often accompanied by MATLAB code Highlights strong links between linear algebra, topology and graph theory because these links are essentially important for applications A self-contained book that deals with mathematics that is immediately relevant for data mining Book jacket. This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 981438349X
• ISBN13: 9789814383493
• Release Date: June 2012
• Publisher: World Scientific Publishing Company
• Length: 880 Pages
• Weight: 3.00 lbs.
• Dimensions: 2.0" x 6.2" x 9.1"