New book: Matrix Methods in Data Mining and Pattern Recognition

  New book:
  Matrix Methods in Data Mining and Pattern Recognition
  by Lars Eldén, SIAM, 2007

  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 applications discussed in the book are classification of
  handwritten digits, text mining, text summarization, pagerank
  computations related to the Google search engine, and face
  recognition.

  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.

  See the book web pages:
  http://www.mai.liu.se/~laeld/matrix-methods/index.html
  http://www.ec-securehost.com/SIAM/FA04.html

  2007 / x + 224 pages / Softcover / ISBN: 978-0-898716-26-9
  List Price $69.00/ SIAM Member Price $48.30

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Lars Eldén Professor of scientific computing
Department of Mathematics (numerical analysis)
Linkoping University
SE-581 83 Linkoping
Sweden

office telephone: +46 13 28 21 83
fax: +46 13 13 60 53
email: laeld@math.liu.se
WWW: http://www.math.liu.se/~laeld/
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Received on Fri Jun 15 07:46:08 2007