Bemærk: Kan ikke leveres før jul.
Forventes på lager: 05-08-2021
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.
| Forlag | Cambridge University Press |
| Forfatter | Philip D. (University of Chicago) Waggoner |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 05-08-2021 |
| Første udgivelsesår | 2021 |
| Serie | Elements in Quantitative and Computational Methods for the Social Sciences |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 98 |
| Indbinding | Paperback / softback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 98 pages, Worked examples or Exercises |
| Mål | 151 x 229 x 11 |
| ISBN-13 / EAN-13 | 9781108986892 |