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

DOI

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.

Copyright

© 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/).

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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  -