Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part 1 Foundations
- Part 2 From Theory to Algorithms
- Part 3 Additional Learning Models
- 21 Online Learning
- 22 Clustering
- 23 Dimensionality Reduction
- 24 Generative Models
- 25 Feature Selection and Generation
- Part 4 Advanced Theory
- Appendix A Technical Lemmas
- Appendix B Measure Concentration
- Appendix C Linear Algebra
- References
- Index
23 - Dimensionality Reduction
from Part 3 - Additional Learning Models
Published online by Cambridge University Press: 05 July 2014
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part 1 Foundations
- Part 2 From Theory to Algorithms
- Part 3 Additional Learning Models
- 21 Online Learning
- 22 Clustering
- 23 Dimensionality Reduction
- 24 Generative Models
- 25 Feature Selection and Generation
- Part 4 Advanced Theory
- Appendix A Technical Lemmas
- Appendix B Measure Concentration
- Appendix C Linear Algebra
- References
- Index
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- Understanding Machine LearningFrom Theory to Algorithms, pp. 278 - 294Publisher: Cambridge University PressPrint publication year: 2014
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