A Trajectory Regression Clustering Technique Combining a Novel Fuzzy C-Means Clustering Algorithm with the Least Squares Method

Rapidly growing GPS (Global Positioning System) trajectories hide much valuable information, such as city road planning, urban travel demand, and population migration. In order to mine the hidden information and to capture better clustering results, a trajectory regression clustering method (an unsu...

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Bibliographic Details
Published in:	ISPRS international journal of geo-information Vol. 7; no. 5; p. 164
Main Authors:	Zhou, Xiangbing, Miao, Fang, Ma, Hongjiang, Zhang, Hua, Gong, Huaming
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2018
Subjects:	Algorithms angle-based line segments partitioning Clustering Global positioning systems GPS Hausdorff distance Lagrange-based fuzzy C-means least squares Least squares method least squares regression Mathematical models Migration Partitioning planning Positioning systems Regression models Robustness (mathematics) Satellite navigation systems Stability taxi GPS data Trajectories trajectory regression clustering travel Travel demand
ISSN:	2220-9964, 2220-9964
Online Access:	Get full text
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