matrix methods in data mining and pattern recognition

时间:2018-07-13 15:10:28
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文件名称:matrix methods in data mining and pattern recognition

文件大小:17.76MB

文件格式:PDF

更新时间:2018-07-13 15:10:28

数据挖掘, data mining, 矩阵, matrix

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.


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  • 虽然很基础,但是很实用