Spectral Feature Selection for Data Mining
This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handlin...
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| Format: | Elektronisch Buchkapitel |
| Sprache: | Englisch |
| Veröffentlicht: |
Taylor & Francis
2012
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| Online-Zugang: | DOAB: download the publication DOAB: description of the publication |
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| Zusammenfassung: | This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection. Source code for the algorithms is available online. |
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| ISBN: | b11426 9781439862094 |
| Zugangseinschränkungen: | Open Access |