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Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining

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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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DOI: 10.1201/b11426

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