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过滤式选择
特征选择的一类方法。过滤式特征选择方法先对数据进行特征选择,然后再训练学习器,特征选择过程和后续学习器无关。这相当于先用特征选择过程对初始特征进行“过滤”,再用过滤后的特征来训练模型。
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needle-punching depth
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