Based on Cluster analysis model for glass classification problem

Chenxi Liu; Zekai Wu; Xin Dong

doi:10.54097/hset.v42i.7060

Authors

Chenxi Liu
Zekai Wu
Xin Dong

DOI:

https://doi.org/10.54097/hset.v42i.7060

Keywords:

Cluster analysis, logistic regression model, glass artifacts, single objective optimization.

Abstract

The research on the chemical composition and other physical properties of ancient glass is a very important aspect of ancient glass research, which can provide scientific evidence for archaeological research and help to study the composition system, manufacturing age, preparation process and technical origin of ancient glass. Based on the cluster analysis model, this paper establishes a suitable classification model, which provides a correct classification judgment for weathered glass affected by the external environment. The specific work is to classify the rules of glass products, classify each category, and analyze the rationality and sensitivity.

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