A new soft clustering method for traffic prediction in bike-sharing systems
Author:
Affiliation:
1. Department of Industrial Engineering, Seoul National University of Science & Technology (SeoulTech), Seoul, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15568318.2024.2356141
Reference41 articles.
1. Bajracharya, L., Mulya, T., Purbasari, A., & Hwang, M. (2018). A study on cost-effective and eco-friendly bicycle sharing system for developing countries. In International Conference on Information Science and Applications (pp. 523–531). Singapore: Springer.
2. FCM: The fuzzy c-means clustering algorithm
3. Determinants of intention and behavior of low carbon commuting through bicycle-sharing in China
4. On the shape of a set of points in the plane
5. Unresolved Problems in Cluster Analysis
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