feature subset selection

基本解释

So, feature subset selection becomes one of the important research issues in the process of microcalcification identification.
因此，特征子集选择问题成为微钙化点病变类型识别中的重要问题。
In view of the deficiencies in traditional combination optimization method, an algorithm of feature subset selection based on genetic algorithm is proposed in this paper.
该文针对传统优化方法用于特征选择的种种缺陷，提出了基于遗传算法的特征子集选择测算法。
After analyzing problems of the feature subset selection in the field of data mining, a new algorithm of feature subset selection based on the improved genetic algorithm is proposed.
对数据挖掘中的特征子集选择问题进行分析，提出了基于改进遗传算法的特征子集选择算法。

特征提取
The key steps of neural networks pattern recognition are preprocessing and feature subset selection.
神经网络模式识别的一个关键步骤是预处理和特征提取，对于手写体数字识别，本文采用了一种基于字符边缘轮廓的特征提取方法，并用程序实现了这一特征提取过程。
特征子集选择