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Computational considerations in functional principal component analysis

✍ Scribed by Francisco A. Ocaña; Ana M. Aguilera; Manuel Escabias


Publisher
Springer
Year
2007
Tongue
English
Weight
363 KB
Volume
22
Category
Article
ISSN
0943-4062

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## 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