NDoT: Nearest Neighbor Distance Based Outlier Detection Technique

  • Neminath Hubballi
  • Bidyut Kr. Patra
  • Sukumar Nandi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)


In this paper, we propose a nearest neighbor based outlier detection algorithm, NDoT. We introduce a parameter termed as \( Nearest \mbox{ } Neighbor\) \(Factor \mbox{ }(NNF)\) to measure the degree of outlierness of a point with respect to its neighborhood. Unlike the previous outlier detection methods NDoT works by a voting mechanism. Voting mechanism binarizes the decision compared to the top-N style of algorithms. We evaluate our method experimentally and compare results of NDoT with a classical outlier detection method LOF and a recently proposed method LDOF. Experimental results demonstrate that NDoT outperforms LDOF and is comparable with LOF.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Neminath Hubballi
    • 1
  • Bidyut Kr. Patra
    • 2
  • Sukumar Nandi
    • 1
  1. 1.Department of Computer Science & EngineeringIndian Institute of Technology GuwahatiIndia
  2. 2.Department of Computer Science & EngineeringTezpur UniversityTezpurIndia

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