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Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis

机译：两种fmRI探索性数据分析方法的比较：模糊聚类与主成分分析

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R. Baumgartner; L. Ryner; W. Richter; R. Summers; M. Jarmasz; R. Somorjai;
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1. Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis [J] . Smolders A, De Martino F, Staeren N, Magnetic resonance imaging: An International journal of basic research and clinical applications . 2007,第6期

机译：用时间分辨的fMRI数据剖析认知阶段：模糊聚类和独立成分分析的比较
2. A comparison of three methods for principal component analysis of fuzzy interval data [J] . Paolo Giordani, Henk A.L. Kiers Computational statistics & data analysis . 2006,第1期

机译：模糊区间数据三种主成分分析方法的比较
3. Analysis of fMRI Data Using an Integrated Principal Component Analysis and Supervised Affinity Propagation Clustering Approach [J] . Zhang J., Tuo X., Yuan Z., Biomedical Engineering, IEEE Transactions on . 2011,第11期

机译：使用集成主成分分析和监督亲和力传播聚类方法分析fMRI数据
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机译：自动信号漂移和全局波动从4D FMRI数据基于主成分分析作为FMRI数据分析的主要预处理步骤
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Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis

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