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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Bibliographic Details
Main Authors: Liu, Huan (Author), Zhao, Zheng Alan (Author)
Format: Electronic eBook
Language:English
Published: Taylor and Francis 2012
Online Access:Volltext
Summary: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
Physical Description:1 Online-Ressource
ISBN:9781439862094