Clustering as an EDA method: the case of pedestrian directional flow behavior



Document title: Clustering as an EDA method: the case of pedestrian directional flow behavior
Journal: International journal of psychological research
Database: CLASE
System number: 000355290
ISSN: 2011-2084
Authors: 1
1
Institutions: 1Universidad Ateneo de Manila, Ciudad Quezón. Filipinas
Year:
Season: Ene-Jun
Volumen: 3
Number: 1
Pages: 23-36
Country: Colombia
Language: Inglés
Document type: Artículo
Approach: Analítico
English abstract 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
Disciplines: Psicología
Keyword: Psicología experimental,
Clasificación,
Análisis de datos,
Conducta,
Peatones
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