一个新的特征选择判据——不确定性系数

A New Feature Selection Measure-The Uncertainty Coefficient

提出了运用特征子集的不确定性系数作为特征选择的度量。特征子集的不确定性系数是一种单调的特征子集信息度量，因此可以将它作为特征选择度量。实验表明，特征子集的不确定性系数作为特征选择度量是合理和可行的。

In this paper, the uncertainty coefficient of the feature subset is proposed to be a feature selection measure. The uncertainty coefficient is an information measure for a feature subset, and it is monotonic, so it can be taken as the feature selection measure. By experiment study, the uncertainty coefficient is proved reasonable and viable.