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

  • M. Castro-Colin Bruker AXS GmbH, Karlsruhe-76131, Germany
  • E. Ramirez-Homs Department of Physics, El Paso, TX-79912, USA
  • J. A. López Department of Physics, El Paso, TX-79912, USA
Keywords: X-ray fluorescence, Radiation, Spectrometry, Cluster Analysis, Data Mining, Archaeology, Provenance, Nondestructive testing analysis

Abstract

Hierarchichal 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 silver anode. The elemental correlations here disclosed by data mining techniques are expected to guide further archaelogical studies and assist experts in the assessment of provenance and historical ethnographic studies.

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Published
2020-02-28
How to Cite
M. Castro-Colin, E. Ramirez-Homs, & J. A. López. (2020). A Data Mining Perspective of XRF Elemental Analysis from Pueblo People’s Pottery. Journal of Nuclear Physics, Material Sciences, Radiation and Applications, 7(2), 129-138. https://doi.org/10.15415/jnp.2020.72016
Section
Articles