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Principal Component Analysis on Spatial Data: An Overview

✍ Scribed by Demšar, Urška; Harris, Paul; Brunsdon, Chris; Fotheringham, A. Stewart; McLoone, Sean

Book ID: 118144777
Publisher: Taylor and Francis Group
Year: 2013
Tongue: English
Weight: 692 KB
Volume: 103
Category: Article
ISSN: 0004-5608
DOI: 10.1080/00045608.2012.689236

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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