School of Mathematics and Science, Liaocheng University, Liaocheng, Shandong, 252000, China.
*Corresponding author: Xiaowen Fan
The development of civilizations over the centuries has left mankind with many valuable treasures, especially the Silk Road which carried the exchange of ideas and cultures between China and the West in ancient times, and ancient glassware was born in the process. This paper first analyses the correlation between whether the artefacts are weathered and the relationship between glass type, decoration and color to find the degree of correlation; then the variance of each component before weathering is used to find the substance with the most stable change as the eigenvalue, and the K-Means clustering algorithm is used to cluster the two categories of glass artefacts, and by exploring the partial least squares regression equation for each category, multiple By exploring the partial least squares regression equation for each class, the trend of change in chemical content before and after weathering was found; finally, the pre-weathering content was predicted by determining the class of the post-weathering eigenvalue data and substituting back into the regression equation for each class.
 Yin Pengda, Zhao Lina, Zhu Wenxu, Zhang Huihui, Jiao Yusheng, Zhao Guangwei, Sun Guangyu. Optimal fertilization of filled roasted tobacco based on partial least squares regression [J]. China Tobacco Science, 2011, 32(04):61-65.
 Wang Lei, Du Zhiqian, Wang Ling, Liu Ming, Wang Cong. Research on tillage depth measurement device and prediction analysis of multiple linear regression model [J]. Agricultural Mechanization Research, 2022, 45(06):139-145
 Li AY. Research on the prediction of particulate matter concentration in Urumqi based on RF-Kmeans-LIBSVM Environmental Science, 2022, 48(04):118-124.
 Cao Duanxi. The improvement of clustering algorithm and the study of clustering effectiveness index [D]. Nanjing University of Posts and Telecommunications, 2021.
 Long WJ, Zhang XF, Zhang Chain. A business process clustering method based on k-means and elbow rule [J]. Journal of Jianghan University (Natural Science Edition), 2020, 48(01):81-90.
How to cite this paper
Analysis of Chemical Composition Content of Glass Artifacts Based on Clustering Algorithm
How to cite this paper: Xiaowen Fan. (2022) Analysis of Chemical Composition Content of Glass Artifacts Based on Clustering Algorithm. Journal of Applied Mathematics and Computation, 6(4), 513-516.