Journal of Intelligent Learning Systems and Applications

Vol.9 No.4(2017), Paper ID 80066, 14 pages

DOI:10.4236/jilsa.2017.94006

 

A Minimal Subset of Features Using Feature Selection for Handwritten Digit Recognition

 

Areej Alsaafin, Ashraf Elnagar

 

ML & ALP Research Group, Department of Computer Science, University of Sharjah, UoS, Sharjah, UAE
ML & ALP Research Group, Department of Computer Science, University of Sharjah, UoS, Sharjah, UAE

 

Copyright © 2017 Areej Alsaafin, Ashraf Elnagar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article

Alsaafin, A. and Elnagar, A. (2017) A Minimal Subset of Features Using Feature Selection for Handwritten Digit Recognition. Journal of Intelligent Learning Systems and Applications, 9, 55-68. doi: 10.4236/jilsa.2017.94006.
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