ABSTRACT DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...

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Abstract: The density-based spatial clustering of applications with noise (DBSCAN) is regarded as a pioneering algorithm of the density-based clustering technique. It provides the ability to handle ...

Abstract: For high-density shipping areas, traditional trajectory clustering algorithms often perform poorly in waterway extraction and identification. To address this issue, we propose a main ...