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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	ISPRS international journal of geo-information Jg. 7; H. 5; S. 164
Hauptverfasser:	Zhou, Xiangbing, Miao, Fang, Ma, Hongjiang, Zhang, Hua, Gong, Huaming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2018
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!