A K-means multivariate approach for clustering independent components from magnetoencephalographic data.
Independent component analysis (ICA) is typically applied on functional magnetic resonance imaging, electroencephalographic and magnetoencephalographic (MEG) data due to its data-driven nature. In these applications, ICA needs to be extended from single to multi-session and multi-subject studies for...
| Главные авторы: | , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
2012
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