Classification of Glass Products Based on Clustering Algorithm

Abstract

The analysis and identification of glass cultural relics is an important scientific basis for further research on the source and process analysis of glass. First, in order to clarify the classification basis for high-potassium and lead-barium glass, K-means cluster analysis was used to analyze and screen out suitable main related elements as the basis for glass classification. Finally, the accuracy and stability of the model were verified by comparing data, consulting literature, and analyzing sensitivity.