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FEATURE SELECTION ALGORITHM UNDER CONDITIONS OF NOISY DATA AND LIMITED RECORDING
FEATURE SELECTION ALGORITHM UNDER CONDITIONS OF NOISY DATA AND LIMITED RECORDING
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机译:噪声数据和有限记录条件下的特征选择算法
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摘要
Application of inter-class and intra-class filtering, based on aggregate point-to-point distances, to vector data for purposes of filtering the vector data for purposes of pattern recognition. In some embodiments: (i) the inter-class filtering is based on Euclidean distance, in all dimensions, between vector data points in vector space; and/or (ii) the intra-class filtering is based on a distance, in all dimensions, between vector data points in vector space.
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