Abstract

Ancient glass is susceptible to weathering by the burial environment, so it is important to promote the study of weathering and erosion of artifacts so as to make targeted conservation measures. In this paper, the chemical composition of ancient glass artifacts, based on logistic regression to obtain statistical patterns of chemical composition of different types of glass artifacts, and the use of hierarchical clustering method to identify unknown types of glass artifacts. Finding the chemical composition patterns of different categories of glass artifacts is an important reference for studying their raw material sources and facilitating comparative studies of artifacts.

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