Manifold Learning Theory and Applications
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- Synopsis
- Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread
- Copyright:
- 2012
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 314 Pages
- ISBN-13:
- 9781439871102
- Related ISBNs:
- 9780429251368, 9781439871096, 9781439871096
- Publisher:
- Taylor and Francis
- Date of Addition:
- 06/21/20
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Business and Finance, Law, Legal Issues and Ethics, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Yunqian Ma
- Edited by:
- Yun Fu
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