An effective algorithm of outlier detection based on clustering

Abstract

This article put forward an effective algorithm to examine outlier detection based on clustering. Clustering and outlier detection methods are analyzed well by partitioning method. The results show that: it reduced time complexity of the outlier detection greatly, and with the increase of the data, this algorithm is still useful. © 2012 Springer-Verlag.