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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

David Skillicorn




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 | #1255077 in Books |  2007-05-17 | Original language:English | PDF # 1 |  9.27 x.76 x6.55l,1.13 | File type: PDF | 260 pages

||13 of 14 people found the following review helpful.| Comprehensive and well-written!|By Michael B|I am doing research in data mining using tensor decompositions, and was very impressed by this book. It not only covers all of the important matrix and tensor decompositions, but also methods for computing them (with Matlab code!), the computational complexity of these methods, the tradeoffs and scenarios associated with each decom| ||… One of this book’s attractive features is that every chapter contains a discussion relating to the algorithmic issues. One scenario is used as a running illustrative example throughout the book. Several other examples are discussed in different

Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book helps you determine which matrix is appropriate for your dataset and what the results mean.

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You can specify the type of files you want, for your device.Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  David Skillicorn. Just read it with an open mind because none of us really know.

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