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Spectral Feature Selection for Data Mining

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 framewo...

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Autores principales: Zheng Alan Zhao, Huan Liu
Formato: Libro
Publicado: Chapman and Hall/CRC 2012
Acceso en línea:Ver este registro en EBSCOhost
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          Zheng Alan Zhao
          Huan Liu
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          COMPUTERS / Data Science / Data Analytics
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          Data mining
      ab: 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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