Component analysis and identification of glass artifacts based on logistic regression and K-means clustering

Abstract

The Silk Road was a channel of cultural exchange between China and the West in ancient times, and ancient glass relics are valuable physical evidence witnessing the history of early trade between China and the West. Early glass was often made into bead-shaped ornaments in the West Asian and Egyptian regions and imported into China, and ancient glass in China was made locally after absorbing its technology. Although the two types of glass products are similar in appearance, their chemical compositions are not identical. This paper focuses on the influence of weathering on high potassium glass and lead-barium glass and the analysis and identification of the composition of the two types of glass. Based on the logistic model to derive their correlation factors, we determine the correlation between weathering and glass type, decoration and color on the surface of cultural relics. Using stepwise regression analysis, the basis for the classification of high potassium glass and lead-barium glass is derived.