Laser & Optoelectronics Progress, Volume. 56, Issue 3, 033001(2019)

Similarity Measurement Method of Near Infrared Spectrum Based on Grid Division Local Linear Embedding Algorithm

Baoding Xu1, Xiangqian Ding1, Yuhua Qin2、*, Ruichun Hou1, and Lei Zhang3
Author Affiliations
  • 1 College of Information Science and Engineering, Ocean University of China, Qingdao, Shandong 266100, China
  • 2 College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, Shandong 266061, China
  • 3 Shandong Tobacco Research Institute Co. Ltd., Jinan, Shandong 250101, China
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    Figures & Tables(5)
    Comparison between Euclidean distance and geodesic distance
    Feature expression of strong correlation for nicotine
    Residuals of the first subspace at different K and d values
    Projection comparison of (a) PCA, (b) LLE, and (c) GGLLE
    • Table 1. Comparison of performance with different algorithms%

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      Table 1. Comparison of performance with different algorithms%

      AlgorithmAccuracy ofexperiment 1Accuracy ofexperiment 2
      PCA64.255.8
      SAE67.548.3
      LLE82.570.8
      GGLLE93.381.7
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    Baoding Xu, Xiangqian Ding, Yuhua Qin, Ruichun Hou, Lei Zhang. Similarity Measurement Method of Near Infrared Spectrum Based on Grid Division Local Linear Embedding Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(3): 033001

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    Paper Information

    Category: Spectroscopy

    Received: Jul. 6, 2018

    Accepted: Aug. 17, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Qin Yuhua (yuu71@163.com)

    DOI:10.3788/LOP56.033001

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