Spectral Feature Selection for Data Mining (Open Access)

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Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise
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Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise
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Details

  • ISBN: 9781000023077
  • Seitenzahl: 224
  • Kopierschutz: Adobe DRM
  • Erscheinungsdatum: 14.12.2011
  • Verlag: CRC PRESS
  • Formate: epub

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