DBSCAN Clustering Algorithms for Non-Uniform Density Data and Its Application in Urban Rail Passenger Aggregation Distribution

With the emergence of all kinds of location services applications, massive location data are collected in real time. A hierarchical fast density clustering algorithm, DBSCAN(density based spatial clustering of applications with noise) algorithm based on Gauss mixture model, is proposed to detect clu...

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Bibliographic Details
Main Authors: Xiaolu Li, Peng Zhang, Guangyu Zhu
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/19/3722