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...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN ES |
| Publié: |
Universidad de San Buenaventura
2010
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| Accès en ligne: | https://doaj.org/article/da0196e4f7154d3b9d4d573eb04d3ab5 |
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