Feature Selection for Image Classification Based on a New Ranking Criterion

  • Zhou X
  • Wang J
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Abstract

In this paper, a feature selection method combining the reliefF and SVM-RFE algorithm is pro-posed. This algorithm integrates the weight vector from the reliefF into SVM-RFE method. In this method, the reliefF filters out many noisy features in the first stage. Then the new ranking crite-rion based on SVM-RFE method is applied to obtain the final feature subset. The SVM classifier is used to evaluate the final image classification accuracy. Experimental results show that our pro-posed relief-SVM-RFE algorithm can achieve significant improvements for feature selection in image classification.

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APA

Zhou, X., & Wang, J. (2015). Feature Selection for Image Classification Based on a New Ranking Criterion. Journal of Computer and Communications, 03(03), 74–79. https://doi.org/10.4236/jcc.2015.33013

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