%0 Journal Article
%A MENG Haidong1
%A 2
%A SUN Xinjun2
%A SONG Yuchen1
%T Improved LOF Algorithm Based on Data Field
%D 2019
%R 10.3778/j.issn.1002-8331.1709-0453
%J Computer Engineering and Applications
%P 154-158
%V 55
%N 3
%X LOF（Local Outlier Factor） is a classical local outlier detection algorithm based on density. In order to improve the accuracy of the algorithm and dig out the local outlier more accurately, an improvement of LOF outlier detection algorithm based on field data is proposed on the basis of LOF algorithm. Firstly, the potential value is calculated by applying the data field theory to the attribute value of each dimension in the data set. Then a weighted value is added to two random points in each dimension which is larger than the average potential difference by introducing the concept of mean potential difference to improve the accuracy of outlier detection. Experimental results show that the algorithm is feasible and has higher degree of accuracy.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1709-0453