Spectral Feature Selection for Data Mining
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Word Count
56,000 words, Guess
Page Count
224 pages
Identifiers
- ISBN-139780429107191
- ISBN-100429107196
- Better World Books9780429107191
- Open LibraryOL33775571M
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.
Subjects
Topics
Other Editions
- Spectral Feature Selection for Data Mining
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