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Ebook: Spectral feature selection for data mining

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27.01.2024
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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 semisupervised feature selection. The book explores the latest research  Read more...

1. Data of high dimensionality and challenges --

2. Univariate formulations for spectral feature selection --

3. Multivariate formulations --

4. Connections to existing algorithms --

5. Large-scale spectral feature selection --

6. Multi-source spectral feature selection.
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