Question: Given a dataset, a radius value ( epsilon ) , and a min.number of points ( MinPts ) , how are core, border, and noise

Given a dataset, a radius value (epsilon), and a min.number of points
(MinPts), how are core, border, and noise points defined by DBSCAN.
Explain with an example. In what way does DBSCAN use those points to
cluster the dataset?
Given a dataset, a radius value (epsilon), and a min.number of

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