An algorithm of the decision tree based on class feature matrix is proposed.
提出了一种基于类别特征矩阵的决策树算法。
This paper presents a novel feature selection method which is based on class feature domains.
本文介绍了一种基于类别特征域的特征选择方法。
An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
充分考虑了可辨识矩阵的特性,提出一种基于类别特征矩阵的决策规则提取算法。
An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
充分考虑了可辨识矩阵的特性,提出一种基于类别特征矩阵的决策规则提取算法。
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