关键词: 监督学习, 自适应最近邻, 局部保持投影

Abstract: Locality Preserving Projections algorithm（LPP） is a new dimensionality reduction technique.But it is an unsupervised learning algorithm.It could not process classification effectively.A new supervised learning algorithm is proposed，which combines with adaptive nearest neighbor and LPP.The method modifies the similar measure matrix of LPP.Compared with LPP，because it uses class information fully，the algorithm is a supervised learning.Experimentation based on 2-D visualization and UMIST，ORL face datasets shows that the proposed method achieves higher recognition rate.

Key words: supervised learning, adaptive nearest neighbor, locality preserving projections