A Data Mining Perspective of XRF Elemental Analysis from Pueblo People’s Pottery

Authors

  • M. Castro-Colin Bruker AXS GmbH, Karlsruhe-76131, Germany
  • E. Ramirez-Homs Department of Physics, El Paso, TX-79912, USA
  • J. A. Lopez Department of Physics, El Paso, TX-79912, USA

DOI:

https://doi.org/10.15415/jnp.2020.72016

Keywords:

X-ray fluorescence, Radiation, Spectrometry, Cluster Analysis, Data Mining, Archaeology, Provenance, Nondestructive testing analysis, xrf elemental analysis

Abstract

Hierarchical clustering was used to identify elemental signatures in artifacts attributed to the Pueblo peoples. The artifacts in this study are pottery samples found at different sites in the state of New Mexico, USA. Three methods were applied: complete, average, and Ward. Their corresponding cophenetic correlation coefficients were used to contrast the three methods. Elemental characterization was only based on X-ray fluorescence excitation from a portable spectrometer with the silver anode. The elemental correlations here disclosed by data mining techniques are expected to guide further archaeological studies and assist experts in the assessment of provenance and historical ethnographic studies.

XRF elemental analysis

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Published

2020-02-28

How to Cite

(1)
Castro-Colin, M. .; Ramirez-Homs, E. .; Lopez, J. A. . A Data Mining Perspective of XRF Elemental Analysis from Pueblo People’s Pottery. J. Nucl. Phy. Mat. Sci. Rad. A. 2020, 7, 129-138.

Issue

Vol. 7 No. 2 (2020)

Section

Articles

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Articles in Journal of Nuclear Physics, Material Sciences, Radiation and Applications (J. Nucl. Phy. Mat. Sci. Rad. A.) by Chitkara University Publications are Open Access articles that are published with licensed under a Creative Commons Attribution- CC-BY 4.0 International License. Based on a work at http://jnp.chitkara.edu.in. This license permits one to use, remix, tweak and reproduction in any medium, even commercially provided one give credit for the original creation.

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