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      Spectral Feature Selection for Data Mining

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      CRC Press
      Computers / Computer Science, bisacsh:COM014000

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          Abstract

          This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection. Source code for the algorithms is available online.

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          Book
          01 January 2012
          7bfb03d9-0792-47a0-9605-b5532e78acbb
          4895e3cf-d91f-4079-b2ca-734762788389 9781439862094

          Creative Commons Attribution-NonCommercial-NoDerivs https://creativecommons.org/licenses/by-nc-nd/4.0/

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          Computers / Computer Science,bisacsh:COM014000

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