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24

ICPR
2004
IEEE

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Outlier Detection Using k-Nearest Neighbour Graph

15 years 11 hour ago

Outlier Detection Using k-Nearest Neighbour Graph

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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.

Ismo Kärkkäinen, Pasi Fränti, Ville

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Computer Vision | Distance -based Method | ICPR 2004 | K-nearest Neighbour Graph | Outperforms Compared Methods |

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2004
Where	ICPR
Authors	Ismo Kärkkäinen, Pasi Fränti, Ville Hautamäki

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