Adaptive k-means clustering algorithm based on grid and domain centroid weight

Adaptive k-means clustering algorithm based on grid and domain centroid weight

ObjectiveThe digital twin of a natural gas pipeline, constructed from physical entities, continuously generates substantial data, posing significant challenges for data mining regarding computational cost, efficiency, and scalability. The k-means clustering algorithm, a widely used data mining metho...

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Bibliographic Details
Main Authors: Wei CAI, Guangyu SUN, Fei YANG, Bo YAO, Chuanxian LI
Format: Article
Language:zho
Published: Editorial Office of Oil & Gas Storage and Transportation 2025-05-01
Series:You-qi chuyun
Subjects:
digital twin
natural gas pipeline
k-means clustering
grid division
optimal number of clusters
optimal initial centroid
Online Access:https://yqcy.pipechina.com.cn/article/doi/10.6047/j.issn.1000-8241.2025.05.010
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https://yqcy.pipechina.com.cn/article/doi/10.6047/j.issn.1000-8241.2025.05.010

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