id
	10310
Url
	https://chloe.cnr.it/s/BiDiAr/item/10310
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Agglomerative clustering using cosine and Jaccard distances: a computational approach to Roman vessel taxonomy
Creator
	Collins-Elliott, Stephen A.
Date
	2016
Language
	eng
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0
Abstract
	This paper addresses the issue of standardization in the cross-comparability of different vessel assemblages. It presents a computational method for building vessel categories from the bottom up, by comparing the specified attributes of a collection of vessel-types, and grouping like with like. Thus, it provides a platform for translating vessel data which may have been classified or divided by type using one taxonomy, bringing them into communication with those categorized by another. Two different methods of measuring the similarity among vessel-types (cosine similarity and the Jaccard index) are explored, toward providing a control on the resulting ‘synthetic’ categories. An exploratory dataset, collected from published data of archaeological projects in Italy focusing on ceramic vessels of the last two centuries BCE, was used to test the performance of this approach. Project data and results are open source and are available online at https://github.com/scollinselliott/synthkat/.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
Doi
	https://doi.org/10.19282/ac.27.2016.01
Pages
	7-25
Short title
	Agglomerative clustering using cosine and Jaccard distances
Uri
	https://www.archcalc.cnr.it/journal/articles/839
Volume
	27
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/NS6LZ6VK/item-list

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