- Category:
- Other systems
- Tags:
-
- File Size:
- 8.39mb
- Update:
- 2018-01-26
- Downloads:
- 0 Times
- Uploaded by:
- ZJN27
Description: 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.
To Search:
File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 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 |
Download