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Comparison of PCA approaches for very large group ICA

Large data sets are becoming more common in fMRI and, with the advent of faster pulse sequences, memory efficient strategies for data reduction via principal component analysis (PCA) turn out to be extremely useful, especially for widely used approaches like group independent component analysis (ICA...

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Bibliografische gegevens
Gepubliceerd in:Neuroimage
Hoofdauteurs: Calhoun, Vince D., Silva, Rogers F., Adalı, Tülay, Rachakonda, Srinivas
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4554805/
https://ncbi.nlm.nih.gov/pubmed/26021216
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.05.047
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