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Spectral Feature Selection for Data Mining
Zheng Alan Zhao and Huan Liu
2012
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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.
This book is made open access as part of the Knowledge Unlatched KU Select 2018: STEM Backlist Books
This book is made open access as part of the Knowledge Unlatched KU Select 2018: STEM Backlist Books
This book is included in DOAB.
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Keywords
- Computer science
- COMPUTERS / Database Management / Data Mining
- Computing & information technology
- Data mining
- Databases
- KUnlatched
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Links
DOI: 10.1201/b11426Editions