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Clustering Algorithms to Analyze the Road Traffic Crashes
[article]
2021
arXiv
pre-print
Preserved Fulltext
Selecting an appropriate clustering method as well as an optimal number of clusters in road accident data is at times confusing and difficult. This paper analyzes shortcomings of different existing techniques applied to cluster accident-prone areas and recommends using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Ordering Points To Identify the Clustering Structure (OPTICS) to overcome them. Comparative performance analysis based on real-life data on the recorded
arXiv:2108.03490v1
fatcat:hstmyqxotzg7jjgnrhh552l2r4