Analysis and identification of ancient glass cultural relics based on fuzzy C-mean clustering

Abstract

Glass is a valuable physical evidence of ancient Silk Road trade, and ancient glass in China was made locally by absorbing its technology, and it is difficult to distinguish from foreign glass products in appearance, but the internal chemical composition of the two is different. Therefore, this paper focuses on the chemical composition data of the collected ancient glass artifacts, and uses fuzzy C-means aggregation to analyze and identify the composition of ancient glass. The results show that the classification of ancient glass artifacts using fuzzy C-mean clustering is reasonable. The experimental results and experimental data processing methods provide a new way to study ancient Chinese glass artifacts.