• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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  • Chinese Science Citation Database
Volume 19 Issue 3
Jun.  2006
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Article Contents
WANG Xiaohong, WANG Xiaoru, LI Qunzhan. Algorithm for Visualization of Classification Results of Two-Category Data[J]. Journal of Southwest Jiaotong University, 2006, 19(3): 329-334.
Citation: WANG Xiaohong, WANG Xiaoru, LI Qunzhan. Algorithm for Visualization of Classification Results of Two-Category Data[J]. Journal of Southwest Jiaotong University, 2006, 19(3): 329-334.

Algorithm for Visualization of Classification Results of Two-Category Data

  • Received Date: 15 Sep 2005
  • Publish Date: 25 Jun 2006
  • A new algorithm called support vector visualization(SVV) was proposed for visualization of classification results of two-category data to meet the need in some applications.The SVV algorithm is based on support vector machine(SVM) and self-organizing mapping(SOM).The result of SVV is a 2D map to visualize highdimensional data,the boundary of the two-category data,as well as the distance between a datum and the boundary.Compared with SOM and Sammon mapping algorithms,experimental results on two datasets with different separability verify the feasibility and effectiveness of the SVV algorithm.

     

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