Dataset Information

Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognition.

ABSTRACT:

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Background

Portable energy dispersive X-ray fluorescence (pEDXRF) spectrometry analysis was applied for the characterisation of archaeological ceramic findings from three Neolithic sites in Serbia. Two dimension reduction techniques, principal component analysis (PCA) and scattering matrices-based dimension reduction were used to examine the possible classification of those findings, and to extract the most discriminant features.

Results

A decision-making procedure is proposed, whose goal is to classify unknown ceramic findings based on their elemental compositions derived by pEDXRF spectrometry. As a major part of decision-making procedure, the possibilities of two dimension reduction methods were tested. Scattering matrices-based dimension reduction was found to be the more efficient method for the purpose. Linear classifiers designed based on the desired output allowed for 7 of 8 unknown samples from the test set to be correctly classified.

Conclusions

Based on the results, the conclusion is that despite the constraints typical of the applied analytical technique, the elemental composition can be considered as viable information in provenience studies. With a fully-developed procedure, ceramic artefacts can be classified based on their elemental composition and well-known provenance.

SUBMITTER: Gajic-Kvascev MD

PROVIDER: S-EPMC3537681 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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Publications

Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognition.

Gajić-Kvaščev Maja D MD Marić-Stojanović Milica D MD Jančić-Heinemann Radmila M RM Kvaščev Goran S GS Andrić Velibor Dj VDj

Chemistry Central journal 20120914 1

<h4>Unlabelled</h4><h4>Background</h4>Portable energy dispersive X-ray fluorescence (pEDXRF) spectrometry analysis was applied for the characterisation of archaeological ceramic findings from three Neolithic sites in Serbia. Two dimension reduction techniques, principal component analysis (PCA) and scattering matrices-based dimension reduction were used to examine the possible classification of those findings, and to extract the most discriminant features.<h4>Results</h4>A decision-making proced ...[more]

PMID: 22978788

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Dataset Information

Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognition.

Unlabelled

Background

Results

Conclusions

Publications

Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognition.

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