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,...
| 发表在: | IEEE Transactions on information technology in biomedicine 8, 3 (2004). |
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| 格式: | 文件 |
| 语言: | 英语 |
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