首页> 外文会议>Computational Intelligence and Multimedia Applications (ICCIMA), 2007 International Conference on >Clustering Principal Components for Identification and Analysis of Prime Activity and Accompanying Activities in Scattered fMRI Data
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Clustering Principal Components for Identification and Analysis of Prime Activity and Accompanying Activities in Scattered fMRI Data

机译:聚类主成分用于散布fMRI数据中主要活动和伴随活动的识别和分析

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摘要

The multi stimuli fMRI data tends to appear scattered because of involvement of multiple activity patterns. The detection of prime activity in the scattered data leads to decision making on prime stimulus. It also helps in finding the other accompanying a
机译:由于涉及多种活动模式,因此多刺激fMRI数据趋于分散。在散乱数据中检测主要活动会导致对主要刺激做出决策。它还有助于找到其他伴随的

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