Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information

Authors
Deng-chao He, Wen-ning Hao, Gang Chen, Da-wei Jin
Corresponding Author
Deng-chao He
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.82How to use a DOI?
Keywords
Feature Selection, Conditional Mutual Information, Parzen window
Abstract
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.
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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.82How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - https://doi.org/10.2991/isccca.2013.82
ID  - He2013/02
ER  -