A noval feature selection method similar to pagerank method, and ultilized Bayesian optimization to search appropriate parameters
https://github.com/XuesenYang/Feature-rank-feature-selection.git
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
# Information of code
Inspired by PageRank algorithm, we believe that:
(1)If a feature is related to many other features, it means that the feature Rank value is relatively high.
(2)If a feature with a high feature Rank value is linked to another feature, the feature Rank value of the linked feature will be increased accordingly.
The code is in Matlab. A number of functions depend on files in the:https://pan.baidu.com/s/1p96ny8ouuZdAyaReEOf6XA Extraction code:[71xv] Ensure that this folder is added to your Matlab path.
# Copyright Clarify
Copyright ownership belongs to Xuesen Yang, shall not be reproduced , copied, or used in other ways without permission. Otherwise Xuesen Yang will have the right to pursue legal responsibilities.
# Editing information
Editor:Xuesen Yang
Institution: Shenzhen University
E-mail:1348825332@qq.com
Edit date:2019-3-4
Mamihlapinatapai~
Cite As
desomon yang (2026). Feature-rank-feature-selection (https://se.mathworks.com/matlabcentral/fileexchange/70462-feature-rank-feature-selection), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (296 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
|
