Comparison of two exploratory data analysis methods for fMRI unsupervised clustering versus independent component analysis.
Exploratory data-driven methods such as unsupervised clustering and independent component analysis (ICA) are considered to be hypothesis-generating procedures, and are complementary to the hypothesis-led statistical inferential methods in functional magnetic resonance imaging (fMRI). In this paper,...
| Publicat a: | IEEE Transactions on information technology in biomedicine 8, 3 (2004). |
|---|---|
| Autor principal: | |
| Format: | Article |
| Idioma: | English |
| Matèries: |