Glass Classification Research Based on Decision Tree and K-Means Model

Glass artifacts are highly susceptible to weathering during burial, resulting in changes in the original composition ratios. This paper proposes a study of glass classification using decision trees and K-Means models, and finally a detailed analysis of the classification results using sensitivity analysis.