Improved Mutual Information Based on Relative Frequency Factor and Degree of Difference among Classes

DOI

10.2991/itoec-16.2016.35How to use a DOI?

Keywords

feature selection; relative frequency factor; MI; degree of difference among classes

Abstract

By introducing degree of difference among classes, an improved mutual information feature selection method is proposed to effectively improve the accuracy of feature selection, accuracy and efficiency of classification. At the same time, relative frequency factor is applied to solve the tendency of traditional methods to choose the shortage of low frequency words. The experimental results show that the improved method can reasonably improve the performance of mutual information feature selection.

Copyright

© 2016, 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  - Jianwen Gao
AU  - Xi Yang
AU  - Wen Wen
AU  - Jihua Yang
PY  - 2016/05
DA  - 2016/05
TI  - Improved Mutual Information Based on Relative Frequency Factor and Degree of Difference among Classes
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 194
EP  - 200
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.35
DO  - 10.2991/itoec-16.2016.35
ID  - Gao2016/05
ER  -