An Analysis of the Most Accident Prone Regions within the Dhaka Metropolitan Region Using Clustering

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Paul, Shuvashish, Alvi, Ashik Mostafa ORCID: 0000-0001-7898-2030 and Rahman, Rashedur M (2021) An Analysis of the Most Accident Prone Regions within the Dhaka Metropolitan Region Using Clustering. International Journal of Advanced Intelligence Paradigms, 18 (3). pp. 294-315. ISSN 1755-0386

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/46076
DOI 10.1504/ijaip.2018.10018783
Official URL https://www.inderscienceonline.com/doi/abs/10.1504...
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords traffic accident; hazardous regions; Bangladesh; Dhaka City; dataset; fuzzy C-means clustering; hierarchical agglomerative clustering; K-means clustering
Citations in Scopus 7 - View on Scopus
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