Small and overlooked: Roman glass counters from archaeological sites in Poland

Krzyżanowska, Marta; Syta, Olga; Kępa, Luiza; Wagner, Barbara

doi:10.1016/j.jasrep.2022.103786

Journal of Archaeological Science: Reports

2023

DOI: 10.1016/j.jasrep.2022.103786

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Small and overlooked: Roman glass counters from archaeological sites in Poland

Marta Krzyżanowska

Olga Syta

Luiza Kępa

et al.

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2023

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Cited by 1 publication

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Glass component classification model based on decision tree and cluster analysis

Guo¹,

Tan²,

Zhang³

2023

HSET

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In order to investigate the classification laws of the two types, three machine learning models (decision tree, SVM) were constructed in this paper, and their classification accuracy was 96%, which met the practical requirements. Subsequently, a K-means algorithm was constructed to classify the subclasses, and the high potassium and lead-barium glasses were divided into three subclasses. By descriptive statistics of the differences between the subclasses, the results showed that there existed a better differentiation of the divided subclasses in terms of multiple chemical compositions as well as ornamentation and color, which verified its reasonableness. By setting a perturbation factor (a normally distributed sequence with a mean of 0 and a standard deviation of 3) to test the sensitivity of the classification results, the model classification results did not change after several repetitions of the experiment and showed good robustness.

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Glass component classification model based on decision tree and cluster analysis

Guo¹,

Tan²,

Zhang³

2023

HSET

View full text Add to dashboard Cite

show abstract

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Small and overlooked: Roman glass counters from archaeological sites in Poland

Cited by 1 publication

References 26 publications

Glass component classification model based on decision tree and cluster analysis

Glass component classification model based on decision tree and cluster analysis

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