| Revista: | International journal of psychological research |
| Base de datos: | CLASE |
| Número de sistema: | 000355290 |
| ISSN: | 2011-2084 |
| Autores: | Teknomo, Kardi1 Estuar, María Regina E1 |
| Instituciones: | 1Universidad Ateneo de Manila, Ciudad Quezón. Filipinas |
| Año: | 2010 |
| Periodo: | Ene-Jun |
| Volumen: | 3 |
| Número: | 1 |
| Paginación: | 23-36 |
| País: | Colombia |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico |
| Resumen en inglés | 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 regarding the structure of the pattern and it consequentially infers the structure of directional flow pattern. Significant similarities in patterns for both individual and instantaneous walking angles based on EDA method are reported and explained in case studies |
| Disciplinas: | Psicología |
| Palabras clave: | Psicología experimental, Clasificación, Análisis de datos, Conducta, Peatones |
| Texto completo: | Texto completo (Ver HTML) |
