Archsphere – A cluster algorithm for archaeological applications

Caspari, Gino; Jendryke, Michael (2017). Archsphere – A cluster algorithm for archaeological applications. Journal of Archaeological Science: Reports, 14, pp. 181-188. Elsevier 10.1016/j.jasrep.2017.05.052

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This paper argues that many of the existing cluster algorithms employed by practitioners are too unspecific for archaeological purposes. Based on a large landscape archaeological dataset a cluster algorithm for archaeological applications is developed. It accounts for shortfalls in generic cluster algorithms like the difficulty to cluster point clouds with varying densities in DBSCAN or the absence of a notion of noise in k-means. The application of the Archsphere algorithm is geared towards archaeological problem sets using readily available data from surveys and excavations as input. The introduced method performs the task of spatially dividing an archaeological dataset of monuments into clusters in a more meaningful way than is possible with standard procedures, effectively setting a solid foundation for a scale-consistent landscape archaeological analysis of monument assemblages.

Item Type:

Journal Article (Original Article)

Division/Institute:

06 Faculty of Humanities > Department of History and Archaeology > Institute of Archaeological Sciences

UniBE Contributor:

Caspari, Gino

Subjects:

900 History > 930 History of ancient world (to ca. 499)

ISSN:

2352-409X

Publisher:

Elsevier

Language:

English

Submitter:

Gino Ramon Caspari

Date Deposited:

19 Mar 2019 10:18

Last Modified:

25 Oct 2019 15:52

Publisher DOI:

10.1016/j.jasrep.2017.05.052

BORIS DOI:

10.7892/boris.124490

URI:

https://boris.unibe.ch/id/eprint/124490

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