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Constrained Principal Component Analysis and Related Techniques /
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? W...
| Autor principal: | |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chapman and Hall/CRC,
2016.
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| Edición: | 1st. |
| Colección: | Chapman & Hall/CRC Monographs on Statistics & Applied Probability.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Takane, Yoshio, |e author |u Professor Emeritus, McGill University, Montreal, Quebec, Canada, and Adjunct Professorship at University of Victoria, British Columbia, Canada | |
| 245 | 1 | 0 | |a Constrained Principal Component Analysis and Related Techniques / |c Yoshio Takane. |
| 250 | |a 1st. | ||
| 264 | 1 | |b Chapman and Hall/CRC, |c 2016. | |
| 300 | |a 1 online resource (251 pages : |b 14 illustrations). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Chapman & Hall/CRC Monographs on Statistics & Applied Probability | |
| 520 | |a In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha. | ||
| 542 | |f Copyright © Chapman and Hall/CRC 2014 |g 2014 | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Principal components analysis. | |
| 650 | 2 | |a Multivariate Analysis | |
| 650 | 2 | |a Principal Component Analysis | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 6 | |a Analyse en composantes principales. | |
| 650 | 7 | |a Multivariate analysis. |2 fast |0 (OCoLC)fst01029105 | |
| 650 | 7 | |a Principal components analysis. |2 fast |0 (OCoLC)fst01076520 | |
| 776 | 0 | 8 | |i Print version: |a Takane, Yoshio. |t Constrained principal component analysis and related techniques. |d Boca Raton : CRC, Taylor & Francis Group, [2014] |z 9781466556669 |w (DLC) 2013039504 |w (OCoLC)778426559 |
| 830 | 0 | |a Chapman & Hall/CRC Monographs on Statistics & Applied Probability. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781466556683/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||