Orthogonal Relief Algorithm for Feature Selection

  • Jun Yang
  • Yue-Peng Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)


The Relief is a popular feature selection algorithm. However, it is ineffective in removing redundant features due to its feature evaluation mechanism that all discriminative features are assigned with high relevance scores, regardless of the correlations in between. In the present study, we develop an orthogonal Relief algorithm (O-Relief) to tackle the redundant feature problem. The basic idea of the O-Relief algorithm is to introduce an orthogonal transform to decompose the correlation between features so that the relevance of a feature could be evaluated individually as it is done in the original Relief algorithm. Experiment results on four world problems show that the orthogonal Relief algorithm provides features leading to better classification results than the original Relief algorithm.


Feature Selection Discriminative Feature Redundant Feature Orthogonal Space Wrap Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jun Yang
    • 1
  • Yue-Peng Li
    • 1
  1. 1.Institute of AcousticsChinese Academy of SciencesBeijingChina

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