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Academic Journal of Computing & Information Science, 2022, 5(13); doi: 10.25236/AJCIS.2022.051306.

Composition identification of ancient glass products based on cluster analysis


Zhenghu Pang

Corresponding Author:
Zhenghu Pang

Institute Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China, 233030


The Silk Road was a passage for the exchange of Chinese and Western cultures in ancient times, and glass was a valuable physical evidence of early trade exchanges. The main raw material of glass is quartz sand, and the main chemical composition is silicon dioxide (SiO2). Due to the high melting point of pure quartz sand, in order to reduce the melting temperature, it is necessary to add flux during refining. Since different materials can cause glass products to have different properties, the classification of glass products is worth studying. In this paper, a composition analysis and identification model of glass products is developed. First of all, the relationship between surface weathering and glass type, ornamentation and color of glass cultural relics is studied, and after the chemical composition content is counted, the chemical composition content before weathering is predicted according to the weathering point detection data.


Glass composition identification, K-means, Systematic clustering

Cite This Paper

Zhenghu Pang. Composition identification of ancient glass products based on cluster analysis. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 13: 38-43. https://doi.org/10.25236/AJCIS.2022.051306.


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