The author gains insights from attribute reduction based on discernability matrix and proposes a few rough-set based text feature selection algorithms, i. e. , DB1, DB2 and LDB.
作者从基于分辨矩阵的粗糙集属性约简中受到启发，提出了一系列基于粗集理论的文本特征选择算法，即DB1、DB2、LDB。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
本文提出一种基于属性重要度的启发式特征选取算法。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
本文提出一种基于属性重要度的启发式特征选取算法。
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