Ebook: Spectral feature selection for data mining
Author: Zheng Alan Zhao Huan Liu.
- Series: Chapman & Hall/CRC data mining and knowledge discovery series.
- Year: 2012
- Publisher: CRC Press
- City: Boca Raton, FL
- Language: English
- pdf
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 framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research Read more...
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.