当前位置: X-MOL 学术Journal of Archaeological Science: Reports › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using Gaussian mixture model clustering to explore morphology and standardized production of ceramic vessels: A case study of pottery from Late Bronze Age Greece
Journal of Archaeological Science: Reports Pub Date : 2022-08-07 , DOI: 10.1016/j.jasrep.2022.103543
Lynne A. Kvapil, Mark W. Kimpel, Rasitha R. Jayasekare, Kim Shelton

This paper examines vessel morphology and degrees of standardization of ceramic vessels using Gaussian mixture model cluster analysis (GMMC). GMMC is an unsupervised data mining technique that identifies natural groups in a dataset. This project first tests whether GMMC can classify certain shape categories correctly according to human assigned Furumark Shape (FS) pot types using basic vessel dimensions. We then propose that vessels can be considered standardized if they were grouped into the cluster of their own shape category (or pot type). Vessel data are derived from the Late Bronze Age Petsas House ceramic workshop, located in the settlement of Mycenae in southern Greece. The sample comes from a sealed well deposit found within the workshop. GMMC identified three clusters within a group of 488 pots that correspond to three known vessel types with a high degree of sensitivity and specificity so that clustered shapes mostly align with shape categories, and each shape can be defined as standardized. The maximization of information enabled by GMMC and the ability to analyze multiple interrelated variables can thus indicate cognitive approaches to vessel production, such as the perception of vessel shape by potters, and socio-economic factors relating to use by consumers.



中文翻译:

使用高斯混合模型聚类探索陶瓷器皿的形态和标准化生产:以希腊青铜时代晚期陶器为例

本文使用高斯混合模型聚类分析 (GMMC) 检查了陶瓷容器的容器形态和标准化程度。GMMC 是一种无监督数据挖掘技术,可识别数据集中的自然组。该项目首先测试 GMMC 是否可以使用基本容器尺寸根据人工分配的 Furumark 形状 (FS) 锅类型正确分类某些形状类别。然后,我们建议,如果将容器分组到它们自己的形状类别(或罐型)的集群中,则可以认为它们是标准化的。船只数据来自位于希腊南部迈锡尼定居点的青铜时代晚期 Petsas House 陶瓷作坊。样品来自车间内发现的密封井沉积物。GMMC 在一组 488 个容器中确定了三个簇,它们对应于三种已知的容器类型,具有高度的敏感性和特异性,因此簇状形状大多与形状类别一致,并且每个形状都可以定义为标准化的。因此,GMMC 实现的信息最大化和分析多个相互关联的变量的能力可以表明容器生产的认知方法,例如陶工对容器形状的感知,以及与消费者使用相关的社会经济因素。

更新日期:2022-08-08
down
wechat
bug