Skip to content

online feature selection for streaming features with group structure

Notifications You must be signed in to change notification settings

Sandyyadi/onlinegroup-fs

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Contents

  • Algorithm: OGFS,
  • Datasets: Cifar-10, Spectf, Spambase, Wdbc, Ionosphere in MATLAB format,
  • Comparative feature selection methods: Alpha-investing, Grafting, GBFS,
  • Liblinear-1.94,
  • Spams.

How to use

Choose the algorithm in Main.m

# At the matlab prompt, run the script:
>> Main

Reference papers

If you find this work useful in your research, please consider citing:

@inproceedings{wang2013online,
    title={Online Group Feature Selection.},
    author={Wang, Jing and Zhao, Zhong-Qiu and Hu, Xuegang and Cheung, Yiu-Ming and Wang, Meng and Wu, Xindong},
    booktitle={IJCAI},
    year={2013},
    organization={Citeseer}
}
@article{wang2015online,
    title={Online feature selection with group structure analysis},
    author={Wang, Jing and Wang, Meng and Li, Peipei and Liu, Luoqi and Zhao, Zhongqiu and Hu, Xuegang and Wu, Xindong},
    journal={IEEE Transactions on Knowledge and Data Engineering},
    volume={27},
    number={11},
    pages={3029--3041},
    year={2015},
    publisher={IEEE}
}

About

online feature selection for streaming features with group structure

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 41.5%
  • HTML 33.3%
  • MATLAB 15.8%
  • TeX 4.0%
  • C 3.6%
  • Mathematica 0.7%
  • Other 1.1%