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Proximity-Based Outlier Detection

  • Charu C. Aggarwal
Chapter

Abstract

Proximity-based techniques define a data point as an outlier when its locality (or proximity) is sparsely populated. The proximity of a data point may be defined in a variety of ways, which are subtly different from one another but are similar enough to merit unified treatment within a single chapter.

Keywords

Mahalanobis Distance Outlier Detection Cluster Centroid Local Outlier Factor Reachability Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Charu C. Aggarwal
    • 1
  1. 1.IBM T.J. Watson Research CenterNew YorkUSA

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