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Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)

Christopher J. C. Burges




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 | #3377675 in Books |  Now Publishers Inc |  2010-07-20 | Original language:English | PDF # 1 |  9.21 x.22 x6.14l,.35 | File type: PDF | 106 pages

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Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the two-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features ...

You easily download any file type for your device.Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)   |  Christopher J. C. Burges. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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