Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu.
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framewo...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
[2012]
|
| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
|
| Subjects: | |
| Online Access: | Access via Directory of Open Access Books |
Table of Contents:
- 1. Data of high dimensionality and challenges
- 2. Univariate formulations for spectral feature selection
- 3. Multivariate formulations
- 4. Connections to existing algorithms
- 5. Large-scale spectral feature selection
- 6. Multi-source spectral feature selection.