## 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¦
Reconstruction of missing data in principal component analysis
β Scribed by Paul E. Condon
- Publisher
- Elsevier Science
- Year
- 1977
- Weight
- 152 KB
- Volume
- 146
- Category
- Article
- ISSN
- 0029-554X
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