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Laser-Aided Profile Measurement and Cluster Analysis of Ceramic Shapes

Bibliographic Data

ID11072802
AuthorsPeter Demján (0000-0002-1589-4727, Institute of Archaeology of the Czech Academy of Sciences, Prague, Czech Republic, corresponding author), Peter Pavúk (0000-0002-8739-9434, Charles University, Prague, Czech Republic), Christopher H Roosevelt (0000-0002-4302-4788, Koç University, Istanbul, Turkey)
Year2023
Volume48
Issue1
Pages1-18
Publication date2023-01-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Field Archaeology (JOURNAL)
Journal identifiersISSN: 0093-4690 • E-ISSN: 2042-4582
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00934690.2022.2128549
OpenAlexW4303986583
LanguageEN
Citations received8
References cited31

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

Archaeology · Ceramic · Cluster (spacecraft · Cluster analysis · Computer-aided · Data mining · Documentation · Engineering drawing · Geography · Shape analysis (program analysis · Static analysis · Archaeology and ancient environmental studies · Artificial Intelligence · Computer Science · Cultural Heritage Materials Analysis · Engineering · Image Processing and 3D Reconstruction · Materials Science · Software

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Unique citing works8
Citations per year4
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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