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. Lopez Department of Physics, El Paso, TX-79912, USA




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


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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How to Cite

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.