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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)

Lars Eldén




[PDF.rp97] Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)

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 | #668355 in Books |  2007-04-09 | Original language:English | PDF # 1 |  9.72 x.63 x6.85l,.95 | File type: PDF | 224 pages

||0 of 0 people found the following review helpful.| Five Stars|By B. Hunter|One of the best mathematical books I've seen for data mining and pattern recognition​.|About the Author|Lars Eldén is professor of numerical analysis at Linköping University in Sweden. He was head of the Mathematics Department at Linköping University from 1997 to 2001 and Director of the National Supercomputer Centre, Linköpi

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. Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. Par...

You can specify the type of files you want, for your device.Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)   |  Lars Eldén.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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