Feature reduction and feature selection are two common concepts in machine learning, which often occur in papers that apply machine learning to solve problems. For these two concepts, many beginners may not be very clear about their differences. Many people think that the purpose of feature reduction and feature selection is to reduce the dimensionality of data, so they are the same. Once I thought so, the misunderstanding of concept led to the lack of in-depth understanding of the problem behind me. Then we got the guidance of the teacher to make clear the relationship between the two and share it with you.

Filename	Size	Update
降维与特征选择\Class_13.pdf	619082	2017-09-14
降维与特征选择\Class_13_Code.rar	44818	2017-09-14
降维与特征选择\References.rar	8184308	2017-09-14
降维与特征选择\作业.txt	310	2017-09-14
降维与特征选择	0	2018-01-26

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