Chinese Journal of Lasers, Volume. 47, Issue 2, 207030(2020)

A Method of Backscattering Micro-Spectrum Classification Based on Principal Component Analysis and Fuzzy Cluster Analysis

Wang Cheng1、*, Jiao Tong1, Lu Yufei2, Xu Kang1, Li Sen3, Liu Jing3, and Zhang Dawei4
Author Affiliations
  • 1Institute of Biomedical Optics and Optometry, Key Lab of Medical Optical Technology and Instruments, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2Department of Nephrology, Zhongshan Hospital Affiliated to Shanghai Medical College of Fudan University, Shanghai Institute of Nephrology and Dialysis, Shanghai Key Laboratory of Kidney Disease and Blood Purification, Shanghai Priority Clinical Medical Center of Kidney Disease, Shanghai 200030, China
  • 3Institute of Food Microbiology, School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 4Engineering Research Center of Optical Instrument and System, Ministry of Education, Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
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    Wang Cheng, Jiao Tong, Lu Yufei, Xu Kang, Li Sen, Liu Jing, Zhang Dawei. A Method of Backscattering Micro-Spectrum Classification Based on Principal Component Analysis and Fuzzy Cluster Analysis[J]. Chinese Journal of Lasers, 2020, 47(2): 207030

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    Paper Information

    Category: biomedical photonics and laser medicine

    Received: Oct. 8, 2019

    Accepted: --

    Published Online: Feb. 21, 2020

    The Author Email: Cheng Wang (shhwangcheng@163.com)

    DOI:10.3788/CJL202047.0207030

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