WILCZEK, Josef, Fabrice MONNA, Mareva GABILLOT, Nicolas NAVARRO, Lucille RUSCH and Carmela CHATEAU. Unsupervised model-based clustering for typological classification of Middle Bronze Age flanged axes. Journal of Archaeological Science: Reports. Amsterdam: Elsevier, vol. 3, No 1, p. 381-391. ISSN 2352-409X. 2015.
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Basic information
Original name Unsupervised model-based clustering for typological classification of Middle Bronze Age flanged axes
Authors WILCZEK, Josef (203 Czech Republic, guarantor, belonging to the institution), Fabrice MONNA (250 France), Mareva GABILLOT (250 France), Nicolas NAVARRO (250 France), Lucille RUSCH (250 France) and Carmela CHATEAU (250 France).
Edition Journal of Archaeological Science: Reports, Amsterdam, Elsevier, 2015, 2352-409X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study Archaeology, anthropology, ethnology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14210/15:00083355
Organization Filozofická fakulta – Repository – Repository
Keywords in English Archaeology; Typology; Bronze Age; Flanged axes; Morphometrics; Closed contour; Elliptic Fourier Analysis; Gaussian mixture modelling; Self-organizing maps
Links MUNI/A/1130/2014, interní kód Repo.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 2/9/2020 04:58.
Abstract
The classification of Western European flanged axes dating to the Middle Bronze Age (1650–1350 BC) is very complex. Many types of axe have been identified, some of which have numerous variant forms. In the current French terminology, all axes are divided into two generic groups: namely "Atlantic" (Atlantique) and "Eastern" (Orientale). Each of these generic groups, however, is highly polymorphic, so that it is often very difficult for the operator to classify individual axes with absolute confidence and certainty. In order to overcome such problems, a new shape classification is proposed, using morphometric analysis (Elliptic Fourier Analysis) followed by unsupervised model-based clustering and discriminant analysis, both based on Gaussian mixture modelling. Together, these methods produce a clearer pattern, which is independently validated by the spatial distribution of the findings, and multinomial scan statistics. This approach is fast, reproducible, and operator-independent, allowing artefacts of unknown membership to be classified rapidly. The method is designed to be amendable by the introduction of new artefacts, in the light of future discoveries. This method can be adapted to suit many other archaeological artefacts, providing information about the material, social and cultural relations of ancient populations.
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Wilczek_et_al._2015_UMBC.pdf Licence Creative Commons  File version 2/9/2020

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Wilczek_et_al._2015_UMBC.pdf
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  • a concrete person RNDr. Daniel Jakubík, uco 139797
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