Classification and analysis of glass artifacts based on feature filtering

Authors

  • Hongkui Zhong
  • Xiuge Gu
  • Junyan Guo
  • Jianhong Wang

DOI:

https://doi.org/10.54097/hset.v33i.5311

Keywords:

Feature filtering; Mapping relationships; Sensitivity analysis; K-means clustering.

Abstract

Glass is an important physical evidence of the early trade between China and the West. In the early days, the glass introduced into China was mainly pearl shaped ornaments from Western Asia and Egypt. Later, China learned its glass manufacturing technology and used local materials to make glass. Therefore, although the appearance of local glass products is similar to that of foreign glass products, their chemical compositions are not the same. According to the data, the classification rules of high potassium glass and lead barium glass are analyzed; For each category, this paper choose appropriate chemical components to classify them into subclasses, give specific classification methods and results, and analyze the rationality and sensitivity of the classification results.

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References

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Published

21-02-2023

How to Cite

Zhong, H., Gu, X., Guo, J., & Wang, J. (2023). Classification and analysis of glass artifacts based on feature filtering. Highlights in Science, Engineering and Technology, 33, 193-200. https://doi.org/10.54097/hset.v33i.5311