Classification of fragmented pottery with the use of Kohonen self-organising maps (case study from the Hlyboke Ozero-2 settlement in Eastern Ukraine)

IF 1.5 3区 地球科学 0 ARCHAEOLOGY
Archaeometry Pub Date : 2024-02-14 DOI:10.1111/arcm.12961
Anastasiia V. Korokhina
{"title":"Classification of fragmented pottery with the use of Kohonen self-organising maps (case study from the Hlyboke Ozero-2 settlement in Eastern Ukraine)","authors":"Anastasiia V. Korokhina","doi":"10.1111/arcm.12961","DOIUrl":null,"url":null,"abstract":"<p>The paper is devoted to testing Kohonen self-organising maps, with elliptic Fourier coefficients as quantitative variables, for the task of morphological classification of fragmented and non-standardised ceramics. The advantage of the methodology used is its ability to account for the systematic statistical relationships inherent in the dataset, build models of varying degrees of generalisation and visualise multivariate data. The approbation of the method was carried out on materials from the Hlyboke Ozero-2 settlement in Eastern Ukraine. The results are compared with the results obtained using principal component analysis + <i>k-</i>means clustering.</p>","PeriodicalId":8254,"journal":{"name":"Archaeometry","volume":"66 6","pages":"1205-1223"},"PeriodicalIF":1.5000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archaeometry","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/arcm.12961","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The paper is devoted to testing Kohonen self-organising maps, with elliptic Fourier coefficients as quantitative variables, for the task of morphological classification of fragmented and non-standardised ceramics. The advantage of the methodology used is its ability to account for the systematic statistical relationships inherent in the dataset, build models of varying degrees of generalisation and visualise multivariate data. The approbation of the method was carried out on materials from the Hlyboke Ozero-2 settlement in Eastern Ukraine. The results are compared with the results obtained using principal component analysis + k-means clustering.

利用 Kohonen 自组织地图对碎片陶器进行分类(乌克兰东部 Hlyboke Ozero-2 定居点的案例研究)
本文专门测试了以椭圆傅里叶系数为定量变量的 Kohonen 自组织图,以完成对破碎和非标准化陶瓷进行形态分类的任务。所使用方法的优势在于它能够考虑到数据集中固有的系统统计关系,建立不同程度的概括模型,并将多元数据可视化。该方法在乌克兰东部 Hlyboke Ozero-2 定居点的材料上得到了验证。结果与使用主成分分析 + k-means 聚类法得出的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Archaeometry
Archaeometry 地学-地球科学综合
CiteScore
3.60
自引率
12.50%
发文量
105
审稿时长
6 months
期刊介绍: Archaeometry is an international research journal covering the application of the physical and biological sciences to archaeology, anthropology and art history. Topics covered include dating methods, artifact studies, mathematical methods, remote sensing techniques, conservation science, environmental reconstruction, biological anthropology and archaeological theory. Papers are expected to have a clear archaeological, anthropological or art historical context, be of the highest scientific standards, and to present data of international relevance. The journal is published on behalf of the Research Laboratory for Archaeology and the History of Art, Oxford University, in association with Gesellschaft für Naturwissenschaftliche Archäologie, ARCHAEOMETRIE, the Society for Archaeological Sciences (SAS), and Associazione Italian di Archeometria.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信