中文说明：matlab实现relief算法数据挖掘技术通过从大量数据中揭示出隐含的信息,将海量的高维数据转换为有用的信息和知识。特征选择是数据挖掘中的一个重要方向,特征选择算法通过剔除不相关或冗余的特征,从而达到减少特征个数,提高模型精度,减少运行时间的目的。从数据解释的层面上看,关键特征的提取还可以使模型得到简化,从而便于研究人员理解数据的产生。 Relief是一种有效的特征选择算法。
English Description：
MATLAB realizes relief algorithm data mining technology, which reveals the hidden information from a large number of data, and transforms the massive high-dimensional data into useful information and knowledge. Feature selection is an important direction in data mining. Feature selection algorithm can reduce the number of features, improve the accuracy of the model and reduce the running time by eliminating irrelevant or redundant features. From the perspective of data interpretation, the extraction of key features can simplify the model and facilitate researchers to understand the generation of data. Relief is an effective feature selection algorithm.