Classification and identification of ancient glass objects based on decision tree model
DOI:
https://doi.org/10.54097/hset.v21i.3160Keywords:
Decision trees; k-means clustering; glass products.Abstract
Glass products were one of the important goods on the Silk Road. In this paper, a decision tree model is adopted to determine the law of classification of high potassium and lead-barium glass and to obtain the criteria for classification thus illustrating the law of classification. In order to subclassify the two categories of high potassium and lead-barium, k-means clustering is used for unsupervised classification. Once a classification model was established, the unknown classes of glass artifacts were then classified using this model.
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