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Abstract

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

Publisher: 'Informa UK Limited'
Year: 2020
OAI identifier: oai:library.oapen.org:20.500.12657/25274
Provided by: OAPEN Library
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