An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information
- 10.2991/isccca.2013.82How to use a DOI?
- Feature Selection, Conditional Mutual Information, Parzen window
In this paper, an improved feature selection algorithm by conditional mutual information with Parzen window was proposed, which adopted conditional mutual information as an evaluation criterion of feature selection in order to overcome the deficiency of feature redundant and used Parzen window to estimate the probability density functions and calculate the conditional mutual information of continuous variables, in such a way as to achieve feature selection for continuous data.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Deng-chao He AU - Wen-ning Hao AU - Gang Chen AU - Da-wei Jin PY - 2013/02 DA - 2013/02 TI - An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 334 EP - 337 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.82 DO - 10.2991/isccca.2013.82 ID - He2013/02 ER -