Spectral Feature Selection for Data Mining
Contributors: Liu, Huan
Publisher: Taylor & Francis
Published: 20120101
Subjects: Data mining
Description: 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.
Notes: Open Access Unrestricted online access

Knowledge Unlatched

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

English