Memory efficient PCA methods for large group ICA

Memory efficient PCA methods for large group ICA

Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is computed prior to ICA of the group principal components. This work focuses on reducing very high dimension...

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Bibliographic Details
Main Authors: Srinivas eRachakonda, Rogers F Silva, Jingyu eLiu, Vince D Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Neuroscience
Subjects:
Memory
big data
group ICA
PCA
SVD
Evd
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00017/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00017/full

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