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Proximity-Based Approaches: Distance-Based vs. Density-Based Outlier Detection

  • Intuition: Objects that are far away from the others are outliers
  • Assumption of proximity-based approach: The proximity of an outlier deviates significantly from that of most of the others in the data set
  • Two types of proximity-based outlier detection methods
    • Distance-based outlier detection: An object o is an outlier if its neighborhood does not have enough other points
    • Density-based outlier detection: An object o is an outlier if its density is relatively much lower than that of its neighbors


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