Laser-Aided Profile Measurement and Cluster Analysis of Ceramic Shapes
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Datum vydání
2023Publikováno v
Journal of Field Archaeology [online]Ročník / Číslo vydání
48 (1)ISBN / ISSN
ISSN: 2042-4582Metadata
Zobrazit celý záznamKolekce
Tato publikace má vydavatelskou verzi s DOI 10.1080/00934690.2022.2128549
Abstrakt
Ceramics are one of the commonest sources of archaeological information, yet their abundance often confounds documentation and analysis. This article presents a new method of documenting and analyzing ceramics that includes laser-aided profile measurement to capture ceramic shape and other information quickly and accurately, resulting in digital outputs suitable for both publication and morphometric analysis. Linked software and database solutions enable unsupervised machine learning to cluster shapes based on similarity, eventually assisting typological analysis. Following an overview of current practices in ceramic recording and both standard and computational shape classification analyses, the new approach is discussed in full as a documentary and analytical tool. A case study from the Middle and Late Bronze Age site of Kaymakçı in western Anatolia demonstrates the benefits of the recording method and helps show that a combination of automated and manual shape clustering techniques currently remains the best practice in ceramic shape classification.
Klíčová slova
digital recording, computational ceramic classification, unsupervised machine-learning, automated shape matching, Kaymakçı, western Anatolia,
Trvalý odkaz
https://hdl.handle.net/20.500.14178/1884Licence
Licence pro užití plného textu výsledku: Creative Commons Uveďte původ-Neužívejte dílo komerčně-Nezpracovávejte 4.0 International