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

• Main Authors: Estuar, Ma. Regina Justina E, Teknomo, Kardi
• Format: text
• Published: Archīum Ateneo 2010
• Subjects: Gaussian Mixture; directional flow pattern; pedestrian behavior; trajectory analysis; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/197; https://revistas.usb.edu.co/index.php/IJPR/article/view/820
• Institution: Ateneo De Manila University

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...