Book description
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 semisupervise
Table of contents
- Front Cover
- Dedication
- Contents
- Preface
- Authors
- Symbol Description
- 1. Data of High Dimensionality and Challenges (1/4)
- 1. Data of High Dimensionality and Challenges (2/4)
- 1. Data of High Dimensionality and Challenges (3/4)
- 1. Data of High Dimensionality and Challenges (4/4)
- 2. Univariate Formulations for Spectral Feature Selection (1/7)
- 2. Univariate Formulations for Spectral Feature Selection (2/7)
- 2. Univariate Formulations for Spectral Feature Selection (3/7)
- 2. Univariate Formulations for Spectral Feature Selection (4/7)
- 2. Univariate Formulations for Spectral Feature Selection (5/7)
- 2. Univariate Formulations for Spectral Feature Selection (6/7)
- 2. Univariate Formulations for Spectral Feature Selection (7/7)
- 3. Multivariate Formulations (1/6)
- 3. Multivariate Formulations (2/6)
- 3. Multivariate Formulations (3/6)
- 3. Multivariate Formulations (4/6)
- 3. Multivariate Formulations (5/6)
- 3. Multivariate Formulations (6/6)
- 4. Connections to Existing Algorithms (1/6)
- 4. Connections to Existing Algorithms (2/6)
- 4. Connections to Existing Algorithms (3/6)
- 4. Connections to Existing Algorithms (4/6)
- 4. Connections to Existing Algorithms (5/6)
- 4. Connections to Existing Algorithms (6/6)
- 5. Large-Scale Spectral Feature Selection (1/7)
- 5. Large-Scale Spectral Feature Selection (2/7)
- 5. Large-Scale Spectral Feature Selection (3/7)
- 5. Large-Scale Spectral Feature Selection (4/7)
- 5. Large-Scale Spectral Feature Selection (5/7)
- 5. Large-Scale Spectral Feature Selection (6/7)
- 5. Large-Scale Spectral Feature Selection (7/7)
- 6. Multi-Source Spectral Feature Selection (1/6)
- 6. Multi-Source Spectral Feature Selection (2/6)
- 6. Multi-Source Spectral Feature Selection (3/6)
- 6. Multi-Source Spectral Feature Selection (4/6)
- 6. Multi-Source Spectral Feature Selection (5/6)
- 6. Multi-Source Spectral Feature Selection (6/6)
- References (1/6)
- References (2/6)
- References (3/6)
- References (4/6)
- References (5/6)
- References (6/6)
Product information
- Title: Spectral Feature Selection for Data Mining
- Author(s):
- Release date: December 2011
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781439862100
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