A dual spatial clustering method in the presence of heterogeneity and noise-Reference-Cited by-同舟云学术

A dual spatial clustering method in the presence of heterogeneity and noise

Published:2020-09-11 Issue:6 Volume:24 Page:1799-1826
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Zhu Jie¹,Zheng Jiazhu¹,Di Shaoning¹,Wang Shu²^ORCID,Yang Jing³^ORCID

Affiliation:

1. College of Civil Engineering Nanjing Forestry University Nanjing China

2. State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing China

3. Key Laboratory of Virtual Geographic Environment of Ministry of Education Nanjing Normal University Nanjing China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12687

Reference36 articles.

1. A dual approach to cluster discovery in point event data sets

2. Classified and clustered data constellation: An efficient approach of 3D urban data management

3. HiSpatialCluster: A novel high‐performance software tool for clustering massive spatial points

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