Matrix Methods in Data Mining and Pattern Recognition (Paperback)
 
作者: Lars Elden 
書城編號: 450971


售價: $840.00

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出版社: Cambridge University Press
出版日期: 2007/07/12
尺寸: 255x182x17mm
重量: 0.43 kg
ISBN: 9780898716269

商品簡介
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. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.
Lars Elden 作者作品表

Matrix Methods in Data Mining and Pattern Recognition (2 Revised edition) (Paperback)

Matrix Methods in Data Mining and Pattern Recognition (Paperback)

Introduction to Numerical Computation (Paperback)

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