计算机应用与软件2013，Vol.30Issue(3)：55-59,5.DOI:10.3969/j.issn.1000-386x.2013.03.015
基于改进邻域的局部保持投影方法
LOCALITY PRESERVING PROJECTIONS BASED ON IMPROVEMENT OF NEIGHBOURHOOD
摘要
Abstract
Locality preserving projections (LPP) , presented as a linear approximation of Laplacian eigenmaps, are drawn wide attention in classification problems including digital recognition and face recognition because of its advantages in both manifold learning method and linear dimension reduction method. LPP generally uses two methods to construct the neighbour graph, the method of using k-nearest neighbour, and the method of using classification information. The method using k-nearest neighbour does not take advantage of existing classification information, and the method of using classification information does not fully consider local geometry information. In this regard, a locality preserving projections method based on improvement of neighbourhood (ILPP) is discussed in the paper, which integrates the advantages of both two, while utilising the known classification information, it does not ignore the local relationship of manifold as well. The new method significantly improves the efficiency of the classification of LPP. Comparative experiments demonstrate the validity of ILPP.关键词
类别信息/局部保持投影/k近邻/监督Key words
Class information/ Locality preserving projections / k-nearest/ Supervision分类
信息技术与安全科学引用本文复制引用
李晓曼,王靖..基于改进邻域的局部保持投影方法[J].计算机应用与软件,2013,30(3):55-59,5.基金项目
国家自然科学基金青年项目(10901062) （10901062）
福建省自然科学基金项目(2010J01136). （2010J01136）
