Dimensionality Reduction in Data Science
Editor
- Max Garzon(The University of Memphis, 375 Dunn Hall)Ching-Chi Yang(The University of Memphis, 375 Dunn Hall)Deepak Venugopal(The University of Memphis, 375 Dunn Hall)Nirman Kumar(The University of Memphis, 375 Dunn Hall)Kalidas JanaLih-Yuan Deng(The University of Memphis, 375 Dunn Hall)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), 2022. "Dimensionality Reduction in Data Science," Springer Books, Springer, number 978-3-031-05371-9, March.
Handle: RePEc:spr:sprbok:978-3-031-05371-9
DOI: 10.1007/978-3-031-05371-9Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a for a similarly titled item that would be available.Book Chapters
The following chapters of this book are listed in IDEAS- Max Garzon & Ching-Chi Yang & Lih-Yuan Deng, 2022. "What Is Data Science (DS)?," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 1-28, Springer.
- Deepak Venugopal & Lih-Yuan Deng & Max Garzon, 2022. "Solutions to Data Science Problems," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 29-65, Springer.
- Lih-Yuan Deng & Max Garzon & Nirman Kumar, 2022. "What Is Dimensionality Reduction (DR)?," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 67-77, Springer.
- Ching-Chi Yang & Max Garzon & Lih-Yuan Deng, 2022. "Conventional Statistical Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 79-95, Springer.
- Nirman Kumar, 2022. "Geometric Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 97-125, Springer.
- Max Garzon & Sambriddhi Mainali & Kalidas Jana, 2022. "Information-Theoretic Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 127-144, Springer.
- Max Garzon & Sambriddhi Mainali, 2022. "Molecular Computing Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 145-167, Springer.
- Ching-Chi Yang & Lih-Yuan Deng, 2022. "Statistical Learning Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 169-177, Springer.
- Deepak Venugopal & Max Garzon, 2022. "Machine Learning Approaches," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 179-197, Springer.
- Deepak Venugopal & Max Garzon & Nirman Kumar & Ching-Chi Yang & Lih-Yuan Deng, 2022. "Metaheuristics of DR Methods," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 199-218, Springer.
- Max Garzon & Lih-Yuan Deng & Nirman Kumar & Deepak Venugopal & Kalidas Jana & Ching-Chi Yang, 2022. "Appendices," Springer Books, in: Max Garzon & Ching-Chi Yang & Deepak Venugopal & Nirman Kumar & Kalidas Jana & Lih-Yuan Deng (ed.), Dimensionality Reduction in Data Science, chapter 0, pages 219-265, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprbok:978-3-031-05371-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/b/spr/sprbok/978-3-031-05371-9.html