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sufficient number of nearby neighbors. It identifies dense regions of data points as clusters and separates sparse regions as noise. 2. Core Points, Border Points, and Noise Points: DBSCAN categorizes data points into three types: Core Points, Border Points, and Noise Points. - Core Points: Data