Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Lars Eldén 作者

Society for Industrial and Applied Mathematics

译者

2007-04-09 出版日期

184 页数

USD 69.00 价格

Paperback

丛书系列

9780898716269 图书编码

Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms) 在线电子书图书标签: 数据挖掘 MATRIX 模式识别机器学习数学 DataMining 矩阵论矩阵

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发表于2025-01-08

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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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