Glass classification study based on principal component analysis and systematic clustering

Authors

  • Junyang Shao
  • Zimin Wang
  • Kangqi Wang

DOI:

https://doi.org/10.54097/hset.v40i.6569

Keywords:

principal component analysis, systematic clustering, glass classification, subclassification.

Abstract

Ancient Chinese glass is similar in appearance to Western glass, but the chemical composition and its content are very different. In order to properly explore the classification laws of different categories of glass and further study their subclassification, this paper starts from the sample data and uses systematic clustering and principal component analysis to develop a glass classification study based on the index Euclidean distance.

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References

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Published

29-03-2023

How to Cite

Shao, J., Wang, Z., & Wang, K. (2023). Glass classification study based on principal component analysis and systematic clustering. Highlights in Science, Engineering and Technology, 40, 98-108. https://doi.org/10.54097/hset.v40i.6569