Couverture : Linear Algebra Tools for Data Mining

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Linear Algebra Tools for Data Mining

Dan A. Simovici

Résumé

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.

Détails de l'édition

ISBN-13
9789814383493
ISBN-10
981438349X
EAN
9789814383493
Éditeur
World Scientific (Singapore)
Date de publication
1 janvier 2012
Langue
en
Pages
878
Dimensions
23 cm
Provenance des données
  • dimensions BnF Catalogue général · 23 juillet 2026
  • language Google Books · 13 août 2026
  • page_count Google Books · 13 août 2026
  • publication_date BnF Catalogue général · 23 juillet 2026
  • summary Google Books · 13 août 2026
  • title Google Books · 13 août 2026