Feature reduction method involves feature selection and feature extraction.

降维的主要方法是特征选择和特征提取。

A feature selection method independent of detection method is presented.

提出了一种独立于检测算法的入侵检测特征参数选择方法。

The paper defines a new feature selection criterion, i. e. Correlation Projection Score, which can help explicitly take feature interactions into account in feature selection.

以往的特征选择方法中使用的特征或者特征集评价准则往往对属性之间的相互影响考虑较少。

The key operation of data preprocessing is feature selection and extraction.

数据预处理的关键是特征选择和提取.

Taking community structure as measurement index for feature selection, a new feature selection measure approach based on modularity coefficient community structure is proposed.

利用网络社区模块结构作为特征选择的度量指标，给出了一种基于全局拓扑结构的特征选择性能评价方法。

FDS is to perform feature selection in each level, and then modify feature number along with term weighting method accordingly;

二重特征选择方法对每一层均进行一次特征选择，并逐层改变特征数量和权重计算方法；

Spam filtering techniques based on content, especially feature selection algorithm was studied.

对基于内容的垃圾邮件过滤技术尤其是特征选择算法进行了研究。

A second-order feature selection method based on complete 2DPCA is proposed for face recognition.

提出一种基于完全二维主元分析（2DPCA）的二次特征选择方法用于人脸识别。

On feature selection, document frequency was combined with mutual information, and performance was improved.

特征选择的方法上, 结合了文档频数和互信息量, 并对他们进行了改进.

Dimension reduction techniques were discussed from the two aspects: feature selection and dimension transformation.

从属性选择和维变换两个方面对维规约技术进行了概括。