An efficient orientation distance–based discriminative feature extraction method for multi-classification

@article{Liu2013AnEO,
  title={An efficient orientation distance–based discriminative feature extraction method for multi-classification},
  author={Bo Liu and Yanshan Xiao and Philip S. Yu and Zhifeng Hao and Longbing Cao},
  journal={Knowledge and Information Systems},
  year={2013},
  volume={39},
  pages={409-433}
}
Feature extraction is an important step before actual learning. Although many feature extraction methods have been proposed for clustering, classification and regression, very limited work has been done on multi-class classification problems. This paper proposes a novel feature extraction method, called orientation distance–based discriminative (ODD) feature extraction, particularly designed for multi-class classification problems. Our proposed method works in two steps. In the first step, we… CONTINUE READING
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