摘要
In view of the composition analysis and identification of ancient glass products, L1 regularization, K-Means cluster analysis, elbow rule and other methods were comprehensively used to build logical regression, cluster analysis, hyper-parameter test and other models, and SPSS, Python and other tools were used to obtain the classification rules of glass products under different fluxes, sub classification under different chemical compositions, hyper-parameter K value test and rationality analysis. Research can provide theoretical support for the protection and restoration of ancient glass relics.
In view of the composition analysis and identification of ancient glass products, L1 regularization, K-Means cluster analysis, elbow rule and other methods were comprehensively used to build logical regression, cluster analysis, hyper-parameter test and other models, and SPSS, Python and other tools were used to obtain the classification rules of glass products under different fluxes, sub classification under different chemical compositions, hyper-parameter K value test and rationality analysis. Research can provide theoretical support for the protection and restoration of ancient glass relics.
作者
Yuqiao Zhou
Xinyang Xu
Wenjing Ma
Yuqiao Zhou;Xinyang Xu;Wenjing Ma(School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China;School of Accounting, Anhui University of Finance and Economics, Bengbu, China;School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, China)
