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DYNAMIC FEATURE SELECTION WITH MAX-RELEVANCY AND MINIMUM REDUNDANCY CRITERIA

机译:具有最大相关性和最小冗余标准的动态特征选择

摘要

Various embodiments select features from a feature space. In one embodiment a set of features and a class value are received. A redundancy score is obtained for a feature that was previously selected from the set of features. A redundancy score is determined, for each of a plurality of unselected features in the set of features, based on the redundancy score that has been obtained, and a redundancy between the unselected feature and the feature that was previously selected. A relevance to the class value is determined for each of the unselected features. A feature from the plurality of unselected features with a highest relevance to the class value and a lowest redundancy score is selected.
机译:各个实施例从特征空间中选择特征。在一个实施例中,接收一组特征和类值。获得先前从特征集中选择的特征的冗余分数。基于已经获得的冗余度分数以及未选择特征与先前选择的特征之间的冗余度,为一组特征中的多个未选择特征中的每一个确定冗余度分数。对于每个未选择的特征,确定与类别值的相关性。从多个与类别值相关性最高且冗余分数最低的未选择特征中选择一个特征。

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