Modern Dimension Reduction
Philip D. (University of Chicago) Waggoner
Cambridge University Press, 2021
31,95 €On orderDelivery: 2-3 weeks
Dimension reduction offers researchers and scholars the ability to make complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace.
- ISBN-13
- 9781108986892
- ISBN-10
- 1108986897
- Publisher
- Cambridge University Press
- Year
- 2021
- Publication date
- 2021-08-05
- Pages
- 98
- Dimensions
- 151x229x11
- Weight
- 160