This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wenhao, Y., Tinghua, A.: The visualization and analysis of POI features under network space supported by kernel density estimation. Acta Geodaet. Cartograph. Sin. 44(01), 82–90 (2015)
Haijun, W., Deng, Y., Li, W., et al.: A C-means algorithm based on data field. Geomat. Inf. Sci. Wuhan Univ. 34(05), 626–629 (2009)
Wang, S., Gan, W., Li, D., et al.: Data field for hierarchical clustering. Int. J. Data Warehouse. Min. 7(4), 43–63 (2011)
Jing, Y., Jiawei, G., Jiye, L.: An improved DBSCAN clustering algorithm based on data field. J. Front. Comp. Sci. Technol. 6(10), 903–911 (2012)
Rodriguez, A., Laio, A.: Clustering by fast search and find of density peaks. Science 344(6191), 1492–1496 (2014)
Wenyan, G., Deyi, L., Jianmin, W.: An hierarchical clustering method based on data fields. Acta Electron. Sin. 2006(02), 258–262 (2006)
Zhao, P., Qin, K., Ye, X., et al.: A trajectory clustering approach based on decision graph and data field for detecting hotspots. Int. J. Geogr. Inf. Syst. 31(5–6), 1101–1127 (2016)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Kang, L. et al. (2021). A Heterogeneity Urban Facilities Spatial Clustering Analysis Method Based on Data Field and Decision Graph. In: Pan, G., et al. Spatial Data and Intelligence. SpatialDI 2021. Lecture Notes in Computer Science(), vol 12753. Springer, Cham. https://doi.org/10.1007/978-3-030-85462-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-85462-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85461-4
Online ISBN: 978-3-030-85462-1
eBook Packages: Computer ScienceComputer Science (R0)