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March 26, 2026Peer Community In ArchaeologyOpen Access

Author response of: Supporting a Celtic coin die study with image matching and hierarchical clustering for creating a social networks analysis. Round#1

Sebastian Gampe Karsten Tolle Caroline von Nicolai Markus Möller

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Key Points

The aim is to enhance the understanding of Celtic coin dies through advanced image processing techniques and social network analysis.
Implemented image matching algorithms to identify coin dies.
Applied hierarchical clustering to categorize coins based on visual characteristics.
Conducted a social network analysis to explore relationships between different coin dies.
Confirmed the effectiveness of image matching in identifying similarities between coin dies.
Demonstrated hierarchical clustering can reveal patterns in coin die relationships.
Proposed a framework for future analyses of archaeological coin data.

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Implication

Response highlights image matching and clustering techniques in analyzing Celtic coin die social networks.

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Cite This Study

Gampe et al. (2026) studied this question.

synapsesocial.com/papers/69eb0803553a5433e34b3411 https://doi.org/10.24072/pci.archaeo.100677.ar1

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