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| Generalized Supervised Locality Preserving Projection |
| Wang Xiao-ming;Wang Shi-tong |
| School of Information, Jiangnan University, Wuxi 214122, China |
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Abstract 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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Received: 24 July 2008
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2009, Vol. 31 
