SlideWiki | undefined | Proximity-Based Approaches: Distance-Based vs. Density-Based Outlier Detection

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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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