Regional economic development level assessment based on K-means clustering algorithm

In order to quantitatively analyze regional economy through scientific method, the differences of economic development in different regions are revealed. This paper uses K-means clustering algorithm to divide regional economic data into several groups, and each group represents a region with similar...

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Vydané v:	Procedia computer science Ročník 262; s. 1137 - 1143
Hlavní autori:	Pang, Yifan, Nie, Dan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2025
Predmet:	Development level assessment K-means clustering algorithm Regional economy Regional economy K-means clustering algorithm Development level assessment
ISSN:	1877-0509, 1877-0509
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