Chemical subclasses of ancient glass based on K-means

Abstract

After the opening of the Maritime Silk Road, glass products flooded into China, which is an epitome of ancient China's foreign exchanges. Due to its exposure to the environment, the action of air, water, acid, and alkali substances, the chemical composition of the glass surface changes, thus affecting the judgment of the category. In this study, the subclassification of ancient cultural relics realized the chemical composition analysis of ancient glass and its subclass classification. First of all, the classification rules of high potassium glass and lead barium glass are obtained through analysis, which is divided into four categories: high potassium weathering, high potassium without weathering, lead barium weathering, and lead barium without weathering. Second, the cluster copula map was established, and the subclassification results were obtained combined with the K-means algorithm. Finally, the content of the chemical composition is different, so the division method is reasonable. After changing the original data, that is, changing the content of a chemical composition (-10%, -5%, 5%, 5%, 10%) into the original model, the experimental results can conclude that the model has high sensitivity. Finally, the construction of the subclassification model in this study can better provide the technical support for the analysis and identification of ancient chemical components, which is of great significance and value in the fields of archaeology, cultural heritage protection and, materials science.