使用 K-Medoids 聚类对印尼冷冻虾出口数据进行分类

Ekka Pujo Ariesanto Akhmad, Budi Priyono
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引用次数: 0

摘要

印度尼西亚是向发达国家和发展中国家出口捕捞、养殖和冷冻虾的国家之一。以前,冷冻虾出口数据是根据出口国家分类的。然而,冷冻虾出口清单并不包括出口水平。本研究旨在探索机器学习的应用,利用 K-Medoids 集群分析主要目的地国家的冻虾出口数据。本研究的数据来源于 2023 年 1 月按产品类别和国家分列的外贸出口统计公报文件。本研究使用的数据涵盖 2022 年至 2023 年,包括货物净重(单位:吨)和离岸价(离岸价)等研究变量。聚类分析显示形成了两个聚类:一个是高出口水平聚类,另一个是中低出口水平聚类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification Of Indonesian Frozen Shrimp Export Data Using K-Medoids Clustering
Indonesia is one of the countries exporting caught, cultivated, and frozen shrimp to both developed and developing countries. Previously, the frozen shrimp export data was categorized based on the countries it was exported to. However, the list of frozen shrimp exports did not include the export levels. This research aims to explore the application of machine learning to analyze the frozen shrimp export data from the main destination countries using the K-Medoids cluster. The data for this research was sourced from the Bulletin of Foreign Trade Export Statistics documents by Product Group and Country, January 2023. The data used in this study covers the period from 2022 to 2023 and includes research variables such as net weight of goods (in tons) and FOB value (free on board). The cluster analysis revealed the formation of two clusters: one with high export levels and another with medium and low export levels.
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