discernibility

基本解释

In the improved algorithm in this paper, using frequency as the heuristic information of attributes selection, getting frequency of attributes from the filtered discernibility matrix.
论文的改进算法以属性的频率作为选择属性的启发信息，由过滤差别矩阵得到属性的频率。
Subsequently, to heuristically measure the relative importance of candidate cuts, relevant metrics are studied based on "cut discernibility matrix".
其次，论文研究了通过“断点分辨矩阵”来度量候选断点重要性的启发式方式。
The paper puts forward a method of discretization of continuous properties based on discernibility matrix and revises the discrete result by average mutual information.
本文基于可辨识矩阵提出一种连续属性离散化的方法，并利用平均互信息量对离散化结果进行修正。