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,...
| 出版年: | IEEE Transactions on information technology in biomedicine 8, 3 (2004). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
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