What is it about?
In this study we developed a machine-learning based model for the classification of prehistoric mineral objects of personal adornment in the Iberian Peninsula. Using the compositional data obtained by XRF, which is a portable and easy to use technique, the model can infer the mineral in each sample, providing crucial information for the study of this type of material.
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Why is it important?
This model facilitates the collection of empirical data for the study of the dynamics of production, circulation and consumption of these objects, reducing analysis times, bureaucratic processes and insurance costs related to the loan of archaeological material. All resources and data are free and open access, allowing interested parties to contribute to improve the model or develop their own in an open science and collective knowledge building approach.
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Read the Original
This page is a summary of: A supervised multiclass framework for mineral classification of Iberian beads, PLoS ONE, July 2024, PLOS,
DOI: 10.1371/journal.pone.0302563.
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