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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Veröffentlicht in:	Procedia computer science Jg. 262; S. 1137 - 1143
Hauptverfasser:	Pang, Yifan, Nie, Dan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	Development level assessment K-means clustering algorithm Regional economy Regional economy K-means clustering algorithm Development level assessment
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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