DBSCAN

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Across
  1. 4. A point with enough neighboring points to form a dense region.
  2. 8. Type of learning used by DBSCAN.
  3. 10. Popular Python library containing DBSCAN.
Down
  1. 1. A dense group of similar data points.
  2. 2. The programming language most commonly used for DBSCAN implementations.
  3. 3. Points that are not assigned to any cluster.
  4. 5. Improved version of DBSCAN.
  5. 6. A point that belongs to a cluster but has too few neighbors to be a core point.
  6. 7. An unusual data point that differs from the rest of the dataset.
  7. 9. Minimum number of neighboring points required to form a cluster.
  8. 11. Parameter that defines the neighborhood radius.