JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (1): 10-14.doi: 10.6040/j.issn.1672-3961.0.2015.296

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A neighborhood preserving embedding algorithm based on global distance and label information

MEI Qinglin1,2, ZHANG Huaxiang1,2*   

  1. 1. School of Information Science and Engineering, Shandong Normal University, Jinan 250014, Shandong, China;
    2. Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan 250014, Shandong, China
  • Received:2015-09-10 Online:2016-02-20 Published:2015-09-10

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Abstract: 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.

Key words: label information, neighborhood optimization, neighborhood preserving embedding algorithm, dimension reduction, global distance

CLC Number: 

  • TP391
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