Clustering-based method for big spatial data partitioning

被引：0
|
作者：
Zein, Alaa Aldin [1 ]
Dowaji, Salah [1 ]
Al-Khayatt, Mohamad Iyad [1 ]
机构：
[1] Damascus University, Syria
来源：
Measurement: Sensors | 2023年 / 27卷
关键词：
Big spatial data - Clusterings - Data partitioning - Focus areas - Geographics - K-means++ clustering - Scale-up - Spatial data - State-of-the-art technology - Volume velocities;
D O I：
10.1016/j.measen.2023.100731
中图分类号：
学科分类号：
摘要：
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