Research on Glass Classification Based on K-means Clustering and Decision Tree

Authors

  • Chuer Xu
  • Ailing Liang
  • Wen Wang

DOI:

https://doi.org/10.54097/hset.v21i.3149

Keywords:

Decision tree; K-means cluster analysis; A model for distinguishing the types of glass relics

Abstract

 Ancient glass is very vulnerable to weather due to the influence of the burial environment, and its chemical composition proportion changes, which makes it impossible to correctly judge its category. In this paper, mathematical models are established based on decision tree and k-means clustering, respectively, to analyze the classification rules of high potassium glass and lead barium glass, and to find out the classification method for sub classification of the two types of glass. Finally, the mode of distinguishing the types of class cultural relics is established, which has guided significance for the identification of class cultural relics.

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References

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Published

04-12-2022

How to Cite

Xu, C., Liang, A., & Wang, W. (2022). Research on Glass Classification Based on K-means Clustering and Decision Tree. Highlights in Science, Engineering and Technology, 21, 137-147. https://doi.org/10.54097/hset.v21i.3149