[PDF.85dp] Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)
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Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)
[PDF.qp68] Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)
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| #5579972 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 | |
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 ...
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