Outlier Detection Using k-Nearest Neighbour Graph

  • Authors:
  • Ville Hautamaki;Ismo Karkkainen;Pasi Franti

  • Affiliations:
  • University of Joensuu, Finland;University of Joensuu, Finland;University of Joensuu, Finland

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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Abstract

We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance-based method are also proposed. We compare the methods with real and synthetic datasets. The results show that the proposed method achieves resonable results with synthetic data and outperforms compared methods with real data sets with small number of observations.