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Principal component analysis and artificial neural networks applied to the classification of Chinese pottery of neolithic age

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References

1996Fourier transform infrared spectroscopy and the analytical study of works of art for purposes of diagnosis and conservation104 cited

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2011Assessment of Raman microscopy coupled with principal component analysis to examine egg yolk–pigment interaction based on the protein CH stretching region (3100–2800 cm−1)30 cited
2022Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments20 cited

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