Clustering as an EDA method: the case of pedestrian directional flow behavior.
Given the data of pedestrian trajectories in NTXY format, three clustering methods of K Means, Expectation Maximization (EM) and Affinity Propagation were utilized as Exploratory Data Analysis to find the pattern of pedestrian directional flow behavior. The analysis begins without a prior notion reg...
- Autores:
-
Teknomo, Kardi
E. Estuar, Ma. Regina
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2010
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/25699
- Acceso en línea:
- https://hdl.handle.net/10819/25699
https://doi.org/10.21500/20112084.820
- Palabra clave:
- Gaussian Mixture
directional flow pattern
pedestrian behavior
trajectory analysis
- Rights
- openAccess
- License
- International Journal of Psychological Research - 2010