A study on the composition classification of ancient glass products based on factor analysis

Abstract

In the process of ancient Chinese and foreign technology and cultural exchanges, the Silk Road has an important value. Glass artifacts, as goods on the Silk Road, are widely distributed and have important significance for people to reveal the law of social development. In order to study the classification characteristics of high potassium glass and lead-barium glass from the perspective of chemical composition content, and to classify the two kinds of glass into subclasses on this basis, this paper establishes a factor analysis model and applies a factor analysis algorithm to classify the variables by dimensionality reduction; furthermore, the factor rotation is performed on the reduced variable family to further explain what kind of original variables the new variables represent, so as to explain the classification method. Finally, the sensitivity test with the addition of dynamic Gaussian white noise is used to analyze the sensitivity of the model.