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: Millimeter wave radar has been widely used in automatic driving in campus and other park environments. Aiming at the problem that the traditional DBSCAN (Density-Based Spatial Clustering of ...

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This project uses Machine Learning clustering techniques to segment mall customers based on their purchasing behavior and demographic information. Customer segmentation helps businesses understand ...

Furthermore, to deeply validate the effectiveness of the improved K-means algorithm, we compared its performance against two other prominent clustering algorithms widely used in the literature: ...