Understanding postal delivery areas in the Republic of Korea using multiple unsupervised learning approaches

Changes in household composition and the residential environment have had a considerable impact on the features of postal delivery regions in recent years, resulting in a large increase in the overall workload of domestic postal delivery services. In this paper, we provide complex analysis results f...

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Главные авторы:	Keejun Han, Yeongwoong Yu, Dong-gil Na, Hoon Jung, Younggyo Heo, Hyeoncheol Jeong, Sunguk Yun, Jungeun Kim
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Electronics and Telecommunications Research Institute (ETRI) 2022-04-01
Серии:	ETRI Journal
Предметы:	clustering feature engineering postal delivery management unsupervised learning workload balancing
Online-ссылка:	https://doi.org/10.4218/etrij.2021-0407
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