Composition analysis and identification of ancient glass products
DOI:
https://doi.org/10.54097/hset.v33i.5364Keywords:
Glass component test, chi-square test, multiple linear regression analysis, spearman correlation coefficient, R-type cluster analysis.Abstract
Ancient glass is highly susceptible to weathering by the burial environment. During the weathering process, a large number of internal elements are exchanged with environmental elements, resulting in changes in their composition ratios, which affect the correct judgment of their categories. In this paper, the identification of properties and category analysis of ancient glass are realized by processing known data with chi-square test, multiple linear regression analysis, R-type cluster analysis, and correlation coefficient method.
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