VOD: A Novel Outlier Detection Algorithm Based on Voronoi Diagram

摘要

Outlier mining is an important branch of data mining and has attracted much attention recently. The density-based method LOF is widely used in application. However, the complexity of the method is quadratic to size of the dataset, and it is very sensitive to its parameters MinPts. In this paper, we propose a new outlier detection method based on Voronoi diagram, called Voronoi based Outlier Detection (VOD), to provide highly-accurate outlier detection and reduces the time complexity from O(n2) to O(nlogn).