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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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| Veröffentlicht in: | Neuroimage |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2015
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| Schlagworte: | |
| Online Zugang: | 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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