Analysis of tea culture communication path based on the principal component analysis method

被引:0
|
作者
Li, Da [1 ]
Zhong, Yaozhao [2 ]
机构
[1] Fujian Agr & Forestry Univ, Coll Int, Fuzhou 350002, Fujian, Peoples R China
[2] Minjiang Univ, Coll Phys & Elect Informat Engn, Fuzhou 350108, Fujian, Peoples R China
关键词
Principal component analysis; Tea culture communication path; Sampling suitability test; Covariance matrix; Variance contribution ratio;
D O I
10.2478/amns.2023.1.00101
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Tea culture is the main component of Chinese traditional culture, and the analysis of tea culture dissemination paths can promote the process of Chinese traditional culture dissemination to the outside world. This paper standardizes the tea culture dissemination paths based on the principal component analysis method. The correlation matrix of the standardized data is tested for sampling suitability, and the eigenvalues and eigenvectors are calculated to derive the principal components. The variance contribution rate and the cumulative contribution rate of the variance of the principal components are calculated, and then the scores of each principal component are derived and evaluated comprehensively. Accordingly, the main communication paths of tea culture are new media communication, museum collection and exhibition, and tea trade. Based on this, this paper analyzes the communication effects of the communication paths, and the results show that: the number of followers of public accounts related to tea culture reached 63,214 in 2021, an increase of nearly 24% compared with 2019. The total number of visitors to the museum collection and exhibition of tea culture was 28,004 in 2021, an increase of 22.7% compared with the previous year. The number of tea exports and export countries both increased significantly in 2021 compared with 2012. It can be seen that the main dissemination paths of tea culture obtained by the principal component analysis method are effective for the dissemination of tea culture and also provide a reference meaning for the dissemination of other traditional Chinese culture.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Universal adversarial attack method for communication modulation identification using principal component analysis
    Ke D.
    Huang Z.
    Deng S.
    Lu C.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2023, 45 (05): : 30 - 37
  • [32] A Practical Sequential Method for Principal Component Analysis
    Arnold Shu-Yan Wong
    Kwok-Wo Wong
    Chi-Sing Wong
    Neural Processing Letters, 2000, 11 : 107 - 112
  • [33] Randomized Method for Robust Principal Component Analysis
    Liu, Sanyang
    Zhang, Chong
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018), 2018,
  • [34] An improved sequential method for principal component analysis
    Wang, Z
    Lee, Y
    Fiori, S
    Leung, CS
    Zhu, YS
    PATTERN RECOGNITION LETTERS, 2003, 24 (9-10) : 1409 - 1415
  • [35] A practical sequential method for principal component analysis
    Wong, ASY
    Wong, KW
    Leung, CS
    NEURAL PROCESSING LETTERS, 2000, 11 (02) : 107 - 112
  • [36] A Method of Supply Chain Performance Evaluation Based on Principal Component Analysis
    Zhao, Jianmei
    Zhang, Tong
    Wang, Yuan
    Wu, Shuang
    Zhao, Kaixuan
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON OPERATIONS AND SUPPLY CHAIN MANAGEMENT (ICOSCM 2010), 2010, 4 : 75 - 79
  • [37] A Method of Simplified Modeling Based on Kernel Function Principal Component Analysis
    Zhong Bing-Xiang
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 1525 - 1528
  • [38] Fault diagnosis method based on immune kernel principal component analysis
    College of Information and Control Engineering, China University of Petroleum, Dongying 257061, China
    Qinghua Daxue Xuebao, 2008, SUPPL. (1794-1798):
  • [39] The Comprehensive Recognition Method of Critical Lines Based on the Principal Component Analysis
    Hao, Guangtao
    Lin, Zhenheng
    Wu, Xuanyi
    Chen, Xuejun
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2023, 18 (05) : 3507 - 3516
  • [40] A method for developing biomechanical response corridors based on principal component analysis
    Sun, W.
    Jin, J. H.
    Reed, M. P.
    Gayzik, F. S.
    Danelson, K. A.
    Bass, C. R.
    Zhang, J. Y.
    Rupp, J. D.
    JOURNAL OF BIOMECHANICS, 2016, 49 (14) : 3208 - 3215