Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method
Revealing spatial clustering patterns among urban geographic units is crucial for synergistic regional development and integrated urban management. Existing clustering methods neglect the intrinsic relationships between different features and spatiotemporal interactions among units, leading to a bia...
Saved in:
Main Authors: | Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2525382 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-clustering algorithm based on improved tensor chain decomposition
by: ZHANG Hongjun, et al.
Published: (2025-06-01) -
Tensors
by: Vanicek, Petr, 1935-
Published: (1972) -
Integrating Higher Education Strategies into Urban Cluster Development: Spatial Agglomeration Analysis of China’s Key Regions
by: Yangguang Hu, et al.
Published: (2025-06-01) -
Tensor calculus /
by: Synge, J. L.
Published: (1966) -
3D sparse array and its DOA estimation based on coupled tensor decomposition
by: LUO Zhonghua, et al.
Published: (2025-06-01)