%A MEI Qinglin, ZHANG Huaxiang %T A neighborhood preserving embedding algorithm based on global distance and label information %0 Journal Article %D 2016 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.0.2015.296 %P 10-14 %V 46 %N 1 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_1388.shtml} %8 2016-02-20 %X An algorithm of neighborhood preserving embedding based on global distance and label information was proposed. A global factor that characterized the global distance and a function term that characterized the label information were added in the traditional Euclidean distance formula of adjacent graph. Global factor could make unevenly dirtibuted samples smooth and uniform, label information could make intra-class compact and inter-class separable, which improved quality of neighborhood and constructed an optimal adjacency graph, and improved classification accuracy. Experimental results showed that the proposed algorithm had higher accuracy and performed more effective than traditional neighborhood preserving embedding algorithm.