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Laser & Optoelectronics Progress, Volume. 54, Issue 10, 103001(2017)

Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning

Liu Ming1, Li Zhongren2, Zhang Haitao2, Yu Chunxia2, Tang Xinghong2, and Ding Xiangqian1
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    Article index updated: Sep. 14, 2025

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    Liu Ming, Li Zhongren, Zhang Haitao, Yu Chunxia, Tang Xinghong, Ding Xiangqian. Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning[J]. Laser & Optoelectronics Progress, 2017, 54(10): 103001

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    Paper Information

    Category: Spectroscopy

    Received: Apr. 26, 2017

    Accepted: --

    Published Online: Oct. 9, 2017

    The Author Email:

    DOI:10.3788/lop54.103001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology