Research on the method of travel area clustering of urban public transport based on Sage-Husa adaptive filter and improved DBSCAN algorithm

The travel trajectory data of mobile intelligent terminal users are characterized by clutter, incompleteness, noise, fuzzy randomness. The accuracy of original data is an essential prerequisite for better results of trajectory data mining. The Density-Based Spatial Clustering of Applications with No...

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Detalles Bibliográficos
Autores principales: Zhang, Xinhuan, Lauber, Les, Liu, Hongjie, Shi, Junqing, Wu, Jinhong, Pan, Yuran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694428/
https://www.ncbi.nlm.nih.gov/pubmed/34937064
http://dx.doi.org/10.1371/journal.pone.0259472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694428/
https://www.ncbi.nlm.nih.gov/pubmed/34937064
http://dx.doi.org/10.1371/journal.pone.0259472

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