Matrix methods in data mining and pattern recognition
Title:
Matrix methods in data mining and pattern recognition
Author:
Elden, Lars, 1944-
ISBN:
9780898716269
Personal Author:
Publication Information:
Philadelphia, PA : Society for Industrial and Applied Mathematics, c2007.
Physical Description:
x, 224 p. : ill. ; 26 cm.
Series:
Fundamentals of algorithms
Series Title:
Fundamentals of algorithms
Contents:
I: Linear algebra concepts and matrix decompositions -- 1: Vectors and matrices in data mining and pattern recognition -- 2: Vectors and matrices -- 3: Linear systems and least squares -- 4: Orthogonality -- 5: QR decomposition -- 6: Singular value decomposition -- 7: Reduced-rank least squares models -- 8: Tensor decomposition -- II: Data mining applications -- 10: Classification of handwritten digits -- 11: Text mining -- 12: Page ranking for a Web search engine -- 13: Automatic key word and key sentence extraction -- 14: Face recognition using tensor SVD -- III: Computing the matrix decompositions -- 15: Computing eigenvalues and singular values
Abstract:
Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. The book is intended for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful.
Electronic Access:
Table of contents only http://www.loc.gov/catdir/enhancements/fy0715/2006041348-t.htmlContributor biographical information http://www.loc.gov/catdir/enhancements/fy0715/2006041348-b.html
Publisher description http://www.loc.gov/catdir/enhancements/fy0715/2006041348-d.html