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

chapter 1|20 pages

Data of High Dimensionality and Challenges

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chapter 3|28 pages

Multivariate Formulations

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chapter 4|26 pages

Connections to Existing Algorithms

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chapter 5|34 pages

Large-Scale Spectral Feature Selection

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chapter 6|28 pages

Multi-Source Spectral Feature Selection

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