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Volume 31 Issue 8
Dec.  2010
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Wang Xiao-ming, Wang Shi-tong. Generalized Supervised Locality Preserving Projection[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1840-1845. doi: 10.3724/SP.J.1146.2008.00946
Citation: Wang Xiao-ming, Wang Shi-tong. Generalized Supervised Locality Preserving Projection[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1840-1845. doi: 10.3724/SP.J.1146.2008.00946

Generalized Supervised Locality Preserving Projection

doi: 10.3724/SP.J.1146.2008.00946
  • Received Date: 2008-07-24
  • Rev Recd Date: 2009-03-09
  • Publish Date: 2009-08-19
  • Supervised Locality Preserving Projection (SLPP) is a generalization of Locality Preserving Projection (LPP) in the case of supervised learning. In this paper the drawback of SLPP in the high-dimensional and small sample size case is pointed out, and a new algorithm called Generalized Supervised Locality Preserving Projection (GSLPP) is proposed. The relationship between SLPP and GSLPP is theoretically analyzed. In the small sample size case GSLPP can be solved equivalently in lower-dimensionality space. Finally, the effectiveness of the proposed algorithm is verified by experimental results.
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