Analysis of different glass compositions based on Spearman's correlation coefficient

Abstract

Glass is a valuable physical evidence of our early trade exchanges, and the analysis and identification of the composition of ancient glass products is of great significance to the study of our ancient history. However, ancient glass is highly susceptible to weathering by the burial environment, and during the weathering process, the internal elements of the glass and the environmental elements inevitably exchange in large quantities, resulting in changes in its composition ratio and color, thus affecting the correct judgment of its category. In this paper, Fisher's linear discriminant analysis is established to predict, analyze and identify the composition of ancient glass using mathematical and statistical methods. The study of this problem is important for the research and identification of ancient historical relics in China.