Research on Glass Classification and Identification Based on Cluster Analysis and Multiple Regression Models

Abstract

Ancient glass undergoes a large exchange of internal elements with environmental elements in burial, and its composition changes, thus affecting the correct judgement of its category. In order to classify and identify the types of ancient glass, this paper sets different types of glass as the dependent variable, and the grain, weathering or not, and their chemical composition characteristics as the independent variables, so as to form an interpretable classification law. In order to carry out the sub-classification under the same type of glass, then a chemical element content is selected and then the colour of the glass grain is observed under that content. In order to identify the type of glass, this paper builds a multiple regression model on the data of chemical composition and glass type, from which the type of glass is identified. The models established in this paper have passed the stability test.