Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3117(2021)

Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance

Yu-hua QIN1、*, Meng ZHANG1、1; *;, Ning YANG2、2;, and Qiu-fu SHAN3、3;
Author Affiliations
  • 11. College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
  • 22. Qingdao Lanzhi Modern Service Industry Digital Engineering Research Center, Qingdao 266071, China
  • 33. China Tobacco Yunnan Industrial Co., Ltd., Technical Research Center, Kunming 650024, China
  • show less
    References(6)

    [3] K Li, W Li, G Wang et al. Chinese High Technology Letters, 65, 1764(2017).

    [8] F He X, K Lu. Pattern Recognition, 38, 2047(2005).

    [10] G Gong W, H Gu X, P Yang L. Neurocomputing, 74, 1452(2011).

    [14] E Agelet L, S Duvick, D Ellis D. J. Cereal. Sci., 55, 160(2012).

    [15] C Delported, C Meesa, F Souard. Talanta, 177, 4(2018).

    Tools

    Get Citation

    Copy Citation Text

    Yu-hua QIN, Meng ZHANG, Ning YANG, Qiu-fu SHAN. Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3117

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Sep. 24, 2020

    Accepted: --

    Published Online: Oct. 29, 2021

    The Author Email: QIN Yu-hua (yuu71@163.com)

    DOI:10.3964/j.issn.1000-0593(2021)10-3117-06

    Topics