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

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
Main Authors: Xiangbing Zhou, Fang Miao, Hongjiang Ma, Hua Zhang, Huaming Gong
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
trajectory regression clustering
Hausdorff distance
angle-based line segments partitioning
Lagrange-based fuzzy C-means
least squares regression
taxi GPS data
Online Access:http://www.mdpi.com/2220-9964/7/5/164

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http://www.mdpi.com/2220-9964/7/5/164

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