id
	10743
Url
	https://chloe.cnr.it/s/BiDiAr/item/10743
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Experimenting Generalized Procrustes Analysis on a corpus of scenes carved on Mesopotamian cylinder seals and encoded in a textual data set
Creator
	Di Ludovico, Alessandro
	Camiz, Sergio
Date
	2022
Language
	eng
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0
Abstract
	In a recently published study, a textual dataset encoding a group of scenes depicted on Mesopotamian cylinder seals from the third millennium was submitted to Procrustes Analysis, considering Correspondence Analysis variations due to progressive reductions of the forms involved. The results seemed to indicate that a slight reduction in the number of forms used to describe the raw data would improve the Correspondence Analysis results. Indeed, the actual impact of each reduction on the outcome of the analyses could not be adequately identified if the forms were not considered as elements forming segments, i.e., sub-images of the scenes. In this paper, the results of the same methodology are presented, this time applied to repeated segments within the same dataset, i.e., sequences of textual forms that may describe sub-images of the described scenes. The comparison between the progressive reductions of repeated segments showed relevant differences between small (around 10% of the rarest segments) and large reductions. Indeed, the latter may undermine a consistent interpretation of the different finding sites, yet well represented keeping 90% of segments. Moreover, a reduction performed by hand and not on the frequency of occurrences provided better results.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
Cites
	https://chloe.cnr.it/s/BiDiAr/item/16337
	https://chloe.cnr.it/s/BiDiAr/item/11120
	https://chloe.cnr.it/s/BiDiAr/item/16338
	https://chloe.cnr.it/s/BiDiAr/item/16339
	https://chloe.cnr.it/s/BiDiAr/item/16340
	https://chloe.cnr.it/s/BiDiAr/item/14389
	https://chloe.cnr.it/s/BiDiAr/item/15885
	https://chloe.cnr.it/s/BiDiAr/item/16341
	https://chloe.cnr.it/s/BiDiAr/item/16342
	https://chloe.cnr.it/s/BiDiAr/item/16343
	https://chloe.cnr.it/s/BiDiAr/item/16344
	https://chloe.cnr.it/s/BiDiAr/item/16345
	https://chloe.cnr.it/s/BiDiAr/item/16346
	https://chloe.cnr.it/s/BiDiAr/item/10439
	https://chloe.cnr.it/s/BiDiAr/item/10489
	https://chloe.cnr.it/s/BiDiAr/item/16347
	https://chloe.cnr.it/s/BiDiAr/item/10160
	https://chloe.cnr.it/s/BiDiAr/item/16348
	https://chloe.cnr.it/s/BiDiAr/item/16349
	https://chloe.cnr.it/s/BiDiAr/item/16350
	https://chloe.cnr.it/s/BiDiAr/item/16351
	https://chloe.cnr.it/s/BiDiAr/item/16352
	https://chloe.cnr.it/s/BiDiAr/item/16353
	https://chloe.cnr.it/s/BiDiAr/item/16354
	https://chloe.cnr.it/s/BiDiAr/item/11118
	https://chloe.cnr.it/s/BiDiAr/item/12950
	https://chloe.cnr.it/s/BiDiAr/item/16355
Doi
	https://doi.org/10.19282/ac.33.2.2022.02
Issue
	2
Pages
	13-32
Uri
	https://www.archcalc.cnr.it/journal/articles/1199
Volume
	33
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/AD9ZHQ9T/item-list

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