Glass Classification and Composition Study based on systematic clustering
DOI:
https://doi.org/10.54097/hset.v69i.12527Keywords:
Hierarchical Clustering, Chi-squared Test, Component Analysis.Abstract
To obtain the influence of the production of raw materials and buried environment changes on their composition, this study analyzes a batch of ancient glass products in China. In the history of the Silk Road, glass was an important trade item. The main raw material of ancient glass is quartz sand, with a high melting point, so it is necessary to add solvents and stabilizers for refining. Different solvents contain different main components. The results show that the burial environment change of ancient glass products can affect their color, ornamentation, and composition ratio. The addition of different cosolvents to the production process can lead to different compositions of ancient glass products. The analysis of ancient glass products plays an important role in providing a better understanding of the Silk Road trade and technology exchange.
Downloads
References
Zhang, X. Glassmaking in China: Origins and Evolution[M]. Routledge. 2020.
Li, C., Chen, S., Li, J., & Li, H. A study of the chemical compositions and possible fluxes of ancient Chinese glass samples[J]. Journal of Cultural Heritage, 2017:24, 1-7.
Luo, Y., Zhang, H., Zhou, Y., & Sun, T. Analysis of the classification of ancient glasses based on hierarchical clustering algorithm[J]. IEEE Access,2020:8, 27614-27622.
Zaki, M. J., & Meira Jr, W. Data mining and analysis: fundamental concepts and algorithms[M]. Cambridge University Press. 2014.
Fang Xiangzhong. Chi-square distribution and chi-square test[J]. China Statistics, 2022 (05): 29-31.
Zhang, J., Yu, Z., & Cao, X. Variance analysis of the chemical composition of ancient glass in the Western Regions of China[N]. Journal of Cultural Heritage, 2018:32, 97-103.
Liu, S., Wang, S., Zhao, Y., & Feng, J. Chemical compositions and corrosion of ancient Chinese glasses excavated from the Imperial Palace, Beijing[J]. Journal of Non-Crystalline Solids, 2019:521, 119507.
Schiavon, N., Kockelmann, W., & Ciliberto, E. An investigation on the effects of weathering on ancient glasses[J]. Journal of Cultural Heritage, 2019:36, 98-105.
Trochim, W. M. K. Descriptive statistics[M]. Research Methods Knowledge Base. 2021.
Duan, J., Chen, Y., & Wang, Y. Optimal design of differential evolution algorithm based on coefficient of variation for optimization problems[J]. IEEE Access, 2022:10, 3257-3265.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
