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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Liu, Huan (VerfasserIn), Zhao, Zheng Alan (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Taylor and Francis 2012
Links:https://www.doabooks.org/doab?func=search&query=rid:32882
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
Umfang:1 Online-Ressource
ISBN:9781439862094