Classification and identification of glass artifacts based on fuzzy clustering and binary logit regression analysis
DOI:
https://doi.org/10.54097/hset.v22i.3392Keywords:
ln(p/1-p) Type discrimination model, fuzzy cluster analysis, glass weathering.Abstract
This paper establishes a mathematical model based on the existing data of glass types, summarizes the classification rules of high potassium glass and lead-barium glass, and selects the appropriate chemical composition and subclasses for high potassium glass and lead-barium glass. And based on the classification law, the chemical composition data of the unknown category of glass artifacts are used to identify the type to which they belong.
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