Abstract
In this paper, the relation between the chemical composition of different types of glass objects was analyzed, and the differences between the chemical compositions were used to classify the glass objects, mainly by K-means, decision tree, and Euclidean distance analysis. For the classification of glass artifacts, this article analyzed the chemical composition of different types of glass artifacts and the changes of chemical composition before and after weathering, and then obtained the differences of chemical composition of different types of glass artifacts to obtain the classification law. The model was tested for reasonableness by giving the classification criteria, and the sensitivity of the model was determined by the change in the number of classification species K.The sensitivity of the model was analyzed by calculating the Euclidean distances between the object and the cluster centers, and the variance of the model by calculating the Euclidean distances between the object and the cluster centers before and after the weathering of the glass objects.
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