## Abstract We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan i
β¦ LIBER β¦
Astrophysical use of the principal component analysis of imperfect data
β Scribed by Wasaburo Unno; Manabu Yuasa
- Publisher
- Springer Netherlands
- Year
- 1992
- Tongue
- English
- Weight
- 396 KB
- Volume
- 189
- Category
- Article
- ISSN
- 0004-640X
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