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
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    References(6)

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

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

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

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

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

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    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

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    Paper Information

    Category: Research Articles

    Received: Sep. 24, 2020

    Accepted: --

    Published Online: Oct. 29, 2021

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

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

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