Multicategory classification based on the hypercube self-organizing mapping (SOM) scheme

  • Authors:
  • Lan Du;Junying Zhang;Zheng Bao

  • Affiliations:
  • National Lab. of Radar Signal Processing, Xidian University, Shaanxi, Xi'an, China;National Lab. of Radar Signal Processing, Xidian University, Shaanxi, Xi'an, China;National Lab. of Radar Signal Processing, Xidian University, Shaanxi, Xi'an, China

  • Venue:
  • ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
  • Year:
  • 2006

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Abstract

A new multicalss recognition strategy is proposed in this paper, where the self-organizing mapping (SOM) scheme with a hypercube mapped space is used to represent each category in a binary string format and a binary classifier is assigned to each bit in the string. Our strategy outperforms the existing approaches in the prior knowledge requirement, the number of binary classifiers, computation complexity, storage requirement, decision boundary complexity and recognition rate.