In DBSCAN, Epsilon is the maximum radius of the neighborhood from a data point, and MinPts is the minimum number of points required to form a ________.
- border point
- cluster
- core point
- noise point
In DBSCAN, Epsilon defines the neighborhood radius, and MinPts defines the minimum number of points required to form a cluster. If a point has at least MinPts within its Epsilon neighborhood, a cluster is formed.
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